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ORCIDFarinaz Koushanfar
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- affiliation: University of California, San Diego, USA
- affiliation (former): University of California, Berkeley, USA
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2020 – today
- 2025
[c180]Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar:
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. NDSS 2025- [i100]Nojan Sheybani, Tengkai Gong, Anees Ahmed, Nges Brian Njungle, Michel A. Kinsy, Farinaz Koushanfar:
Gotta Hash 'Em All! Speeding Up Hash Functions for Zero-Knowledge Proof Applications. CoRR abs/2501.18780 (2025) - [i99]Ruisi Zhang, Neusha Javidnia, Nojan Sheybani, Farinaz Koushanfar:
Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign. CoRR abs/2502.02068 (2025) - [i98]Georgios Syros, Anshuman Suri, Farinaz Koushanfar, Cristina Nita-Rotaru, Alina Oprea:
DROP: Poison Dilution via Knowledge Distillation for Federated Learning. CoRR abs/2502.07011 (2025) - [i97]Nojan Sheybani, Anees Ahmed, Michel A. Kinsy, Farinaz Koushanfar:
Zero-Knowledge Proof Frameworks: A Systematic Survey. CoRR abs/2502.07063 (2025) - [i96]Neusha Javidnia, Bita Darvish Rouhani, Farinaz Koushanfar:
Key, Value, Compress: A Systematic Exploration of KV Cache Compression Techniques. CoRR abs/2503.11816 (2025) - 2024
- [j72]Huili Chen
, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar:
Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design. IEEE Des. Test 41(2): 23-31 (2024) - [j71]Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar:
Distributed constrained combinatorial optimization leveraging hypergraph neural networks. Nat. Mac. Intell. 6(6): 664-672 (2024) - [j70]Xinqiao Zhang, Mohammad Samragh, Siam U. Hussain, Ke Huang, Farinaz Koushanfar:
Scalable Binary Neural Network Applications in Oblivious Inference. ACM Trans. Embed. Comput. Syst. 23(3): 45:1-45:18 (2024) - [j69]Nojan Sheybani, Xinqiao Zhang, Siam Umar Hussain, Farinaz Koushanfar:
SenseHash: Computing on Sensor Values Mystified at the Origin. IEEE Trans. Emerg. Top. Comput. 12(2): 508-520 (2024) - [j68]Jeongmin Lim, Young Geun Kim, Sung Woo Chung, Farinaz Koushanfar, Joonho Kong:
Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation. IEEE Trans. Emerg. Top. Comput. 12(3): 938-951 (2024) - [j67]Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar:
FaceSigns: Semi-fragile Watermarks for Media Authentication. ACM Trans. Multim. Comput. Commun. Appl. 20(11): 337:1-337:21 (2024) - [j66]Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, G. Abarajithan, Nojan Sheybani, Andres Meza, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner:
Tailor: Altering Skip Connections for Resource-Efficient Inference. ACM Trans. Reconfigurable Technol. Syst. 17(1): 11:1-11:23 (2024) - [c179]Nojan Sheybani, Farinaz Koushanfar:
You Can Have Your Cake and Eat It Too: Ensuring Practical Robustness and Privacy in Federated Learning. AAAI Spring Symposia 2024: 316 - [c178]Ruisi Zhang, Farinaz Koushanfar:
Watermarking Large Language Models and the Generated Content: Opportunities and Challenges. IEEECONF 2024: 1779-1786 - [c177]Ruisi Zhang, Farinaz Koushanfar:
EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models. DAC 2024: 88:1-88:6 - [c176]Anees Ahmed, Nojan Sheybani, Davi Moreno, Nges Brian Njungle, Tengkai Gong, Michel A. Kinsy, Farinaz Koushanfar:
AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge Applications on the Edge. ICCAD 2024: 194:1-194:9 - [c175]Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie:
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. ICML 2024 - [c174]Paarth Neekhara, Shehzeen Samarah Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. ICML 2024 - [c173]Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar:
Automated Physical Design Watermarking Leveraging Graph Neural Networks. MLCAD 2024: 13:1-13:10 - [c172]Ke Huang, Xinqiao Zhang, Farinaz Koushanfar:
Unveiling Analog Aging Trojans (ATs): Vulnerabilities and Detection Strategies. MWSCAS 2024: 678-682 - [c171]Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar:
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models. USENIX Security Symposium 2024 - [e1]Yongdae Kim, Jong Kim, Farinaz Koushanfar, Kasper Rasmussen:
Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2024, Seoul, Republic of Korea, May 27-29, 2024. ACM 2024 [contents] - [i95]Ruisi Zhang, Farinaz Koushanfar:
EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models. CoRR abs/2402.17938 (2024) - [i94]Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie:
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models. CoRR abs/2402.18059 (2024) - [i93]Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar:
ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection. CoRR abs/2404.18407 (2024) - [i92]Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar:
Automated Physical Design Watermarking Leveraging Graph Neural Networks. CoRR abs/2407.20544 (2024) - [i91]Ruisi Zhang, Farinaz Koushanfar:
Watermarking Large Language Models and the Generated Content: Opportunities and Challenges. CoRR abs/2410.19096 (2024) - [i90]Ari Juels, Farinaz Koushanfar:
Props for Machine-Learning Security. CoRR abs/2410.20522 (2024) - [i89]Anees Ahmed, Nojan Sheybani, Davi Moreno, Nges Brian Njungle, Tengkai Gong, Michel A. Kinsy, Farinaz Koushanfar:
AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge Applications on the Edge. CoRR abs/2411.06350 (2024) - [i88]Jung-Woo Chang, Ke Sun, David Xia, Xinyu Zhang, Farinaz Koushanfar:
EveGuard: Defeating Vibration-based Side-Channel Eavesdropping with Audio Adversarial Perturbations. CoRR abs/2411.10034 (2024) - [i87]Xihe Gu, Greg Fields, Yaman Jandali, Tara Javidi, Farinaz Koushanfar:
Trojan Cleansing with Neural Collapse. CoRR abs/2411.12914 (2024) - [i86]Shashank Balla, Yiming Zhao, Farinaz Koushanfar:
ICtoken: An NFT for Hardware IP Protection. CoRR abs/2412.06726 (2024) - [i85]Seetal Potluri, Farinaz Koushanfar:
SoK: Model Reverse Engineering Threats for Neural Network Hardware. IACR Cryptol. ePrint Arch. 2024: 913 (2024) - 2023
- [j65]Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
GALU: A Genetic Algorithm Framework for Logic Unlocking. DTRAP 4(2): 21:1-21:30 (2023) - [j64]Mojan Javaheripi, Jung-Woo Chang, Farinaz Koushanfar:
AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 19(1): 7:1-7:20 (2023) - [j63]Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi:
Adversarial scratches: Deployable attacks to CNN classifiers. Pattern Recognit. 133: 108985 (2023) - [j62]Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection. ACM Trans. Embed. Comput. Syst. 22(2): 37:1-37:23 (2023) - [j61]Huili Chen, Farinaz Koushanfar:
Tutorial: Toward Robust Deep Learning against Poisoning Attacks. ACM Trans. Embed. Comput. Syst. 22(3): 42:1-42:15 (2023) - [j60]Florian Frank, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos, André Schaller, Tolga Arul, Farinaz Koushanfar, Stefan Katzenbeisser, Ulrich Rührmair, Jakub Szefer:
Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. IEEE Trans. Inf. Forensics Secur. 18: 2991-3005 (2023) - [j59]Ruisi Zhang, Shehzeen Hussain, Huili Chen, Mojan Javaheripi, Farinaz Koushanfar:
Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings. ACM Trans. Design Autom. Electr. Syst. 28(6): 88:1-88:32 (2023) - [c170]Xinghan Wang, Nasimeh Heydaribeni, Farinaz Koushanfar, Tara Javidi:
Federated Certainty Equivalence Control for Linear Gaussian Systems with Unknown Decoupled Dynamics and Quadratic Common Cost. Allerton 2023: 1-8 - [c169]Kushal Babel, Mojan Javaheripi, Yan Ji, Mahimna Kelkar, Farinaz Koushanfar, Ari Juels:
Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning. CCS 2023: 1212-1226 - [c168]Shashank Balla, Farinaz Koushanfar:
HELiKs: HE Linear Algebra Kernels for Secure Inference. CCS 2023: 2306-2320 - [c167]Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar:
VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. DAC 2023: 1-6 - [c166]Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar:
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. DAC 2023: 1-6 - [c165]Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar:
AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. DAC 2023: 1-6 - [c164]Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Farinaz Koushanfar:
ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems. DSN 2023: 302-312 - [c163]Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner:
Adapting Skip Connections for Resource-Efficient FPGA Inference. FPGA 2023: 229 - [c162]Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
zPROBE: Zero Peek Robustness Checks for Federated Learning. ICCV 2023: 4837-4847 - [c161]Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression. NDSS 2023 - [c160]Christoph Sendner, Huili Chen, Hossein Fereidooni, Lukas Petzi, Jan König, Jasper Stang, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. NDSS 2023 - [i84]Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, Nojan Sheybani, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner:
Tailor: Altering Skip Connections for Resource-Efficient Inference. CoRR abs/2301.07247 (2023) - [i83]Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression. CoRR abs/2304.01441 (2023) - [i82]Christoph Sendner, Ruisi Zhang, Alexander Hefter, Alexandra Dmitrienko, Farinaz Koushanfar:
G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts. CoRR abs/2307.08549 (2023) - [i81]Patrick McDaniel, Farinaz Koushanfar:
Secure and Trustworthy Computing 2.0 Vision Statement. CoRR abs/2308.00623 (2023) - [i80]Nasimeh Heydaribeni, Ruisi Zhang, Tara Javidi, Cristina Nita-Rotaru, Farinaz Koushanfar:
SABRE: Robust Bayesian Peer-to-Peer Federated Learning. CoRR abs/2308.02747 (2023) - [i79]Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar:
ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. CoRR abs/2309.06779 (2023) - [i78]Paarth Neekhara, Shehzeen Hussain, Rafael Valle, Boris Ginsburg, Rishabh Ranjan, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations. CoRR abs/2310.09653 (2023) - [i77]Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar:
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models. CoRR abs/2310.12362 (2023) - [i76]Jung-Woo Chang, Ke Sun, Nasimeh Heydaribeni, Seira Hidano, Xinyu Zhang, Farinaz Koushanfar:
Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems. CoRR abs/2311.00207 (2023) - [i75]Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar:
HypOp: Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks. CoRR abs/2311.09375 (2023) - [i74]Soheil Zibakhsh Shabgahi, Nojan Sheybani, Aiden Tabrizi, Farinaz Koushanfar:
LiveTune: Dynamic Parameter Tuning for Training Deep Neural Networks. CoRR abs/2311.17279 (2023) - [i73]Soheil Zibakhsh Shabgahi, Mohammad Soheil Shariff, Farinaz Koushanfar:
LayerCollapse: Adaptive compression of neural networks. CoRR abs/2311.17943 (2023) - [i72]Yaman Jandali, Nojan Sheybani, Farinaz Koushanfar:
SPAM: Secure & Private Aircraft Management. CoRR abs/2312.00245 (2023) - [i71]Kushal Babel, Mojan Javaheripi, Yan Ji, Mahimna Kelkar, Farinaz Koushanfar, Ari Juels:
Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning. IACR Cryptol. ePrint Arch. 2023: 1338 (2023) - 2022
- [j58]Shehzeen Hussain, Paarth Neekhara, Brian Dolhansky, Joanna Bitton, Cristian Canton Ferrer, Julian J. McAuley, Farinaz Koushanfar:
Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks. DTRAP 3(3): 30:1-30:23 (2022) - [j57]Xinghan Wang, Anusha Lalitha, Tara Javidi, Farinaz Koushanfar:
Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs. IEEE J. Sel. Areas Inf. Theory 3(2): 172-182 (2022) - [c159]Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Mauricio Duarte, Farinaz Koushanfar:
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. ICCAD 2022: 41:1-41:9 - [c158]Farinaz Koushanfar:
Intellectual Property (IP) Protection for Deep Learning and Federated Learning Models. IH&MMSec 2022: 5 - [c157]Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio César Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models. NeurIPS 2022 - [c156]Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider:
FLAME: Taming Backdoors in Federated Learning. USENIX Security Symposium 2022: 1415-1432 - [c155]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. WACV 2022: 2898-2906 - [i70]Yein Kim, Huili Chen, Farinaz Koushanfar:
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection. CoRR abs/2202.11196 (2022) - [i69]Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey:
LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models. CoRR abs/2203.02094 (2022) - [i68]Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar:
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. CoRR abs/2203.10183 (2022) - [i67]Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian J. McAuley, Farinaz Koushanfar:
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes. CoRR abs/2204.01960 (2022) - [i66]Xinqiao Zhang, Huili Chen, Ke Huang, Farinaz Koushanfar:
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks. CoRR abs/2204.04329 (2022) - [i65]Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection. CoRR abs/2204.06117 (2022) - [i64]Loris Giulivi, Malhar Jere, Loris Rossi, Farinaz Koushanfar, Gabriela F. Ciocarlie, Briland Hitaj, Giacomo Boracchi:
Adversarial Scratches: Deployable Attacks to CNN Classifiers. CoRR abs/2204.09397 (2022) - [i63]Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar:
ReFace: Real-time Adversarial Attacks on Face Recognition Systems. CoRR abs/2206.04783 (2022) - [i62]Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
zPROBE: Zero Peek Robustness Checks for Federated Learning. CoRR abs/2206.12100 (2022) - [i61]Florian Frank, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos, André Schaller, Tolga Arul, Farinaz Koushanfar, Stefan Katzenbeisser, Ulrich Rührmair, Jakub Szefer:
Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. CoRR abs/2208.02125 (2022) - [i60]Diego Garcia-soto, Huili Chen, Farinaz Koushanfar:
PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications. CoRR abs/2208.04943 (2022) - [i59]Ruisi Zhang, Seira Hidano, Farinaz Koushanfar:
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers. CoRR abs/2209.10505 (2022) - [i58]Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Mauricio Duarte, Farinaz Koushanfar:
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. CoRR abs/2209.12391 (2022) - 2021
- [j56]Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar:
Hardware/Algorithm Codesign for Adversarially Robust Deep Learning. IEEE Des. Test 38(3): 31-38 (2021) - [j55]Farinaz Koushanfar:
Provably Secure Sequential Obfuscation for IC Metering and Piracy Avoidance. IEEE Des. Test 38(3): 51-57 (2021) - [j54]Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar:
SWANN: Small-World Architecture for Fast Convergence of Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 575-585 (2021) - [j53]Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar:
AutoRank: Automated Rank Selection for Effective Neural Network Customization. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 611-619 (2021) - [j52]Karla P. S. Oliveira Esquerre, Mariza Mello, Gabriella Botelho, Zikang Deng, Farinaz Koushanfar, Asher Kiperstok:
Water end-use consumption in low-income households: Evaluation of the impact of preprocessing on the construction of a classification model. Expert Syst. Appl. 185: 115623 (2021) - [j51]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j50]Malhar Jere, Tyler Farnan, Farinaz Koushanfar:
A Taxonomy of Attacks on Federated Learning. IEEE Secur. Priv. 19(2): 20-28 (2021) - [j49]Siam U. Hussain, M. Sadegh Riazi, Farinaz Koushanfar:
The Fusion of Secure Function Evaluation and Logic Synthesis. IEEE Secur. Priv. 19(2): 48-55 (2021) - [j48]Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar:
CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning. IEEE Trans. Dependable Secur. Comput. 18(2): 736-752 (2021) - [c154]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. ACML 2021: 252-267 - [c153]Farinaz Koushanfar:
Machine Learning on Encrypted Data: Hardware to the Rescue. ASHES@CCS 2021: 1 - [c152]Siam Umar Hussain, Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar:
COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks. CCS 2021: 3266-3281 - [c151]Mohammad Samragh, Siam U. Hussain, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
On the Application of Binary Neural Networks in Oblivious Inference. CVPR Workshops 2021: 4630-4639 - [c150]Mojan Javaheripi, Farinaz Koushanfar:
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. ICCAD 2021: 1-9 - [c149]Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
ProFlip: Targeted Trojan Attack with Progressive Bit Flips. ICCV 2021: 7698-7707 - [c148]Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. ICCVW 2021: 12-20 - [c147]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. USENIX Security Symposium 2021: 2273-2290 - [c146]Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. WACV 2021: 3347-3356 - [i57]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Expressive Neural Voice Cloning. CoRR abs/2102.00151 (2021) - [i56]Xinqiao Zhang, Huili Chen, Farinaz Koushanfar:
TAD: Trigger Approximation based Black-box Trojan Detection for AI. CoRR abs/2102.01815 (2021) - [i55]Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar, Julian J. McAuley:
Cross-modal Adversarial Reprogramming. CoRR abs/2102.07325 (2021) - [i54]Shehzeen Hussain, Paarth Neekhara, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
WaveGuard: Understanding and Mitigating Audio Adversarial Examples. CoRR abs/2103.03344 (2021) - [i53]Oliver Lutz, Huili Chen, Hossein Fereidooni, Christoph Sendner, Alexandra Dmitrienko, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. CoRR abs/2103.12607 (2021) - [i52]Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar:
Unsupervised Information Obfuscation for Split Inference of Neural Networks. CoRR abs/2104.11413 (2021) - [i51]Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. CoRR abs/2109.02836 (2021) - [i50]Mojan Javaheripi, Farinaz Koushanfar:
HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. CoRR abs/2111.01932 (2021) - [i49]Mehran Abbasi Shirsavar, Mehrnoosh Taghavimehr, Lionel J. Ouedraogo, Mojan Javaheripi, Nicole N. Hashemi, Farinaz Koushanfar, Reza Montazami:
Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors. CoRR abs/2111.03985 (2021) - 2020
- [j47]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs. IEEE J. Sel. Top. Signal Process. 14(4): 750-764 (2020) - [j46]Cheng Fu, Huili Chen, Zhenheng Yang, Farinaz Koushanfar, Yuandong Tian, Jishen Zhao:
Enhancing Model Parallelism in Neural Architecture Search for Multidevice System. IEEE Micro 40(5): 46-55 (2020) - [j45]Arslan Munir, Farinaz Koushanfar:
Design and Analysis of Secure and Dependable Automotive CPS: A Steer-by-Wire Case Study. IEEE Trans. Dependable Secur. Comput. 17(4): 813-827 (2020) - [j44]Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
EncoDeep: Realizing Bit-flexible Encoding for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 19(6): 43:1-43:29 (2020) - [j43]Huili Chen, Seetal Potluri, Farinaz Koushanfar:
Security of Microfluidic Biochip: Practical Attacks and Countermeasures. ACM Trans. Design Autom. Electr. Syst. 25(3): 27:1-27:29 (2020) - [c145]Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota:
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. PPMLP@CCS 2020: 65-67 - [c144]Huili Chen, Rosario Cammarota, Felipe Valencia, Francesco Regazzoni, Farinaz Koushanfar:
AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration. DAC 2020: 1-6 - [c143]Huili Chen, Siam Umar Hussain, Fabian Boemer, Emmanuel Stapf, Ahmad-Reza Sadeghi, Farinaz Koushanfar, Rosario Cammarota:
Developing Privacy-preserving AI Systems: The Lessons learned. DAC 2020: 1-4 - [c142]Mojan Javaheripi, Huili Chen, Farinaz Koushanfar:
Unified Architectural Support for Secure and Robust Deep Learning. DAC 2020: 1-6 - [c141]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: genetic evolution for acquiring compact AI. GECCO 2020: 350-358 - [c140]Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA 2020: 1-14 - [c139]Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CleaNN: Accelerated Trojan Shield for Embedded Neural Networks. ICCAD 2020: 11:1-11:9 - [c138]Huili Chen, Bita Darvish Rouhani, Farinaz Koushanfar:
SpecMark: A Spectral Watermarking Framework for IP Protection of Speech Recognition Systems. INTERSPEECH 2020: 2312-2316 - [c137]Huili Chen, Seetal Potluri, Farinaz Koushanfar:
FlowTrojan: Insertion and Detection of Hardware Trojans on Flow-Based Microfluidic Biochips. NEWCAS 2020: 158-161 - [i48]Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar:
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. CoRR abs/2002.04971 (2020) - [i47]M. Sadegh Riazi, Seyed M. Chavoshian, Farinaz Koushanfar:
SynFi: Automatic Synthetic Fingerprint Generation. CoRR abs/2002.08900 (2020) - [i46]Paarth Neekhara, Shehzeen Hussain, Malhar Jere, Farinaz Koushanfar, Julian J. McAuley:
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples. CoRR abs/2002.12749 (2020) - [i45]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: Genetic Evolution for Acquiring Compact AI. CoRR abs/2004.04249 (2020) - [i44]Wayne P. Burleson, Kevin Fu, Denise L. Anthony, Jorge Guajardo, Carl A. Gunter, Kyle Ingols, Jean-Baptiste Jeannin, Farinaz Koushanfar, Carl E. Landwehr, Susan Squires:
Grand Challenges for Embedded Security Research in a Connected World. CoRR abs/2005.06585 (2020) - [i43]Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - [i42]Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks. CoRR abs/2009.02326 (2020) - [i41]Malhar Jere, Maghav Kumar, Farinaz Koushanfar:
A Singular Value Perspective on Model Robustness. CoRR abs/2012.03516 (2020) - [i40]M. Sadegh Riazi, Seyed M. Chavoshian, Farinaz Koushanfar:
SynFi: Automatic Synthetic Fingerprint Generation. IACR Cryptol. ePrint Arch. 2020: 217 (2020) - [i39]Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota:
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. IACR Cryptol. ePrint Arch. 2020: 1181 (2020)
2010 – 2019
- 2019
- [j42]Bita Darvish Rouhani, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
Safe Machine Learning and Defeating Adversarial Attacks. IEEE Secur. Priv. 17(2): 31-38 (2019) - [j41]M. Sadegh Riazi, Bita Darvish Rouhani, Farinaz Koushanfar:
Deep Learning on Private Data. IEEE Secur. Priv. 17(6): 54-63 (2019) - [c136]Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing:
A Framework for Collaborative Learning in Secure High-Dimensional Space. CLOUD 2019: 435-446 - [c135]Bita Darvish Rouhani, Huili Chen, Farinaz Koushanfar:
DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks. ASPLOS 2019: 485-497 - [c134]Rahul Chatterjee, M. Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, Ari Juels:
Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms. CCS 2019: 1171-1186 - [c133]Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ARM2GC: Succinct Garbled Processor for Secure Computation. DAC 2019: 112 - [c132]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar:
Adversarial Reprogramming of Text Classification Neural Networks. EMNLP/IJCNLP (1) 2019: 5215-5224 - [c131]Mohsen Imani, Sahand Salamat, Behnam Khaleghi, Mohammad Samragh, Farinaz Koushanfar, Tajana Rosing:
SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. FCCM 2019: 190-198 - [c130]Siam U. Hussain, Farinaz Koushanfar:
FASE: FPGA Acceleration of Secure Function Evaluation. FCCM 2019: 280-288 - [c129]Cheng Fu, Shilin Zhu, Huili Chen, Farinaz Koushanfar, Hao Su, Jishen Zhao:
SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework. FCCM 2019: 319 - [c128]M. Sadegh Riazi, Mojan Javaheripi, Siam U. Hussain, Farinaz Koushanfar:
MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation. HOST 2019: 198-207 - [c127]Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption. ICCAD 2019: 1-8 - [c126]Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar:
FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. ICCAD 2019: 1-8 - [c125]Mohsen Imani, Samuel Bosch, Mojan Javaheripi, Bita Darvish Rouhani, Xinyu Wu, Farinaz Koushanfar, Tajana Rosing:
SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. ICCAD 2019: 1-8 - [c124]Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. IJCAI 2019: 4658-4664 - [c123]Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
Universal Adversarial Perturbations for Speech Recognition Systems. INTERSPEECH 2019: 481-485 - [c122]Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar:
DeepAttest: an end-to-end attestation framework for deep neural networks. ISCA 2019: 487-498 - [c121]Huili Chen, Bita Darvish Rouhani, Cheng Fu, Jishen Zhao, Farinaz Koushanfar:
DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models. ICMR 2019: 105-113 - [c120]Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao:
Coda: An End-to-End Neural Program Decompiler. NeurIPS 2019: 3703-3714 - [c119]M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. USENIX Security Symposium 2019: 1501-1518 - [i38]Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs. CoRR abs/1901.05582 (2019) - [i37]Anusha Lalitha, Osman Cihan Kilinc, Tara Javidi, Farinaz Koushanfar:
Peer-to-peer Federated Learning on Graphs. CoRR abs/1901.11173 (2019) - [i36]Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ARM2GC: Succinct Garbled Processor for Secure Computation. CoRR abs/1902.02908 (2019) - [i35]M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. CoRR abs/1902.07342 (2019) - [i34]Huili Chen, Bita Darvish Rouhani, Farinaz Koushanfar:
BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks. CoRR abs/1904.00344 (2019) - [i33]Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar:
SWNet: Small-World Neural Networks and Rapid Convergence. CoRR abs/1904.04862 (2019) - [i32]Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian J. McAuley, Farinaz Koushanfar:
Universal Adversarial Perturbations for Speech Recognition Systems. CoRR abs/1905.03828 (2019) - [i31]Anusha Lalitha, Xinghan Wang, Osman Cihan Kilinc, Yongxi Lu, Tara Javidi, Farinaz Koushanfar:
Decentralized Bayesian Learning over Graphs. CoRR abs/1905.10466 (2019) - [i30]Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao:
A Neural-based Program Decompiler. CoRR abs/1906.12029 (2019) - [i29]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
ASCAI: Adaptive Sampling for acquiring Compact AI. CoRR abs/1911.06471 (2019) - [i28]Malhar Jere, Briland Hitaj, Gabriela F. Ciocarlie, Farinaz Koushanfar:
Scratch that! An Evolution-based Adversarial Attack against Neural Networks. CoRR abs/1912.02316 (2019) - [i27]Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar:
Principal Component Properties of Adversarial Samples. CoRR abs/1912.03406 (2019) - [i26]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - [i25]M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. IACR Cryptol. ePrint Arch. 2019: 171 (2019) - [i24]M. Sadegh Riazi, Mojan Javaheripi, Siam U. Hussain, Farinaz Koushanfar:
MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation. IACR Cryptol. ePrint Arch. 2019: 275 (2019) - [i23]Rahul Chatterjee, M. Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, Ari Juels:
Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms. IACR Cryptol. ePrint Arch. 2019: 1103 (2019) - [i22]M. Sadegh Riazi, Beidi Chen, Anshumali Shrivastava, Dan S. Wallach, Farinaz Koushanfar:
Sub-Linear Privacy-Preserving Near-Neighbor Search. IACR Cryptol. ePrint Arch. 2019: 1222 (2019) - 2018
- [j40]Azalia Mirhoseini, Eva L. Dyer, Ebrahim M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar:
RankMap: A Framework for Distributed Learning From Dense Data Sets. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2717-2730 (2018) - [j39]Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar:
SHAIP: Secure Hamming Distance for Authentication of Intrinsic PUFs. ACM Trans. Design Autom. Electr. Syst. 23(6): 75:1-75:20 (2018) - [j38]Siam Umar Hussain, Farinaz Koushanfar:
P3: Privacy Preserving Positioning for Smart Automotive Systems. ACM Trans. Design Autom. Electr. Syst. 23(6): 79:1-79:19 (2018) - [j37]Rasit Onur Topaloglu, Farinaz Koushanfar:
Editorial for TODAES Special Issue on Internet of Things System Performance, Reliability, and Security. ACM Trans. Design Autom. Electr. Syst. 23(6) (2018) - [j36]Bita Darvish Rouhani, Siam Umar Hussain, Kristin E. Lauter, Farinaz Koushanfar:
ReDCrypt: Real-Time Privacy-Preserving Deep Learning Inference in Clouds Using FPGAs. ACM Trans. Reconfigurable Technol. Syst. 11(3): 21:1-21:21 (2018) - [c118]M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar:
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. AsiaCCS 2018: 707-721 - [c117]Bita Darvish Rouhani, M. Sadegh Riazi, Farinaz Koushanfar:
Deepsecure: scalable provably-secure deep learning. DAC 2018: 2:1-2:6 - [c116]Siam U. Hussain, Bita Darvish Rouhani, Mohammad Ghasemzadeh, Farinaz Koushanfar:
MAXelerator: FPGA accelerator for privacy preserving multiply-accumulate (MAC) on cloud servers. DAC 2018: 33:1-33:6 - [c115]Mohammad Ghasemzadeh, Mohammad Samragh, Farinaz Koushanfar:
ReBNet: Residual Binarized Neural Network. FCCM 2018: 57-64 - [c114]Bita Darvish Rouhani, Mohammad Ghasemzadeh, Farinaz Koushanfar:
CausaLearn: Automated Framework for Scalable Streaming-based Causal Bayesian Learning using FPGAs. FPGA 2018: 1-10 - [c113]M. Sadegh Riazi, Farinaz Koushanfar:
Privacy-preserving deep learning and inference. ICCAD 2018: 18 - [c112]Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar:
Assured deep learning: practical defense against adversarial attacks. ICCAD 2018: 20 - [c111]Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar:
DeepFense: online accelerated defense against adversarial deep learning. ICCAD 2018: 134 - [i21]M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar:
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. CoRR abs/1801.03239 (2018) - [i20]Bita Darvish Rouhani, Huili Chen, Farinaz Koushanfar:
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models. CoRR abs/1804.00750 (2018) - [i19]Huili Chen, Bita Darvish Rouhani, Farinaz Koushanfar:
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks. CoRR abs/1804.03648 (2018) - [i18]Mohammad Ghasemzadeh, Fang Lin, Bita Darvish Rouhani, Farinaz Koushanfar, Ke Huang:
AgileNet: Lightweight Dictionary-based Few-shot Learning. CoRR abs/1805.08311 (2018) - [i17]Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR abs/1806.05794 (2018) - [i16]Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, Farinaz Koushanfar:
Adversarial Reprogramming of Sequence Classification Neural Networks. CoRR abs/1809.01829 (2018) - [i15]Huili Chen, Bita Darvish Rouhani, Xinwei Fan, Osman Cihan Kilinc, Farinaz Koushanfar:
Performance Comparison of Contemporary DNN Watermarking Techniques. CoRR abs/1811.03713 (2018) - [i14]Bita Darvish Rouhani, Huili Chen, Farinaz Koushanfar:
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models. IACR Cryptol. ePrint Arch. 2018: 311 (2018) - [i13]Huili Chen, Bita Darvish Rohani, Farinaz Koushanfar:
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks. IACR Cryptol. ePrint Arch. 2018: 322 (2018) - [i12]Ghada Dessouky, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider, Shaza Zeitouni, Michael Zohner:
Pushing the Communication Barrier in Secure Computation using Lookup Tables. IACR Cryptol. ePrint Arch. 2018: 486 (2018) - 2017
- [j35]M. Sadegh Riazi, Ebrahim M. Songhori, Ahmad-Reza Sadeghi, Thomas Schneider, Farinaz Koushanfar:
Toward Practical Secure Stable Matching. Proc. Priv. Enhancing Technol. 2017(1): 62-78 (2017) - [j34]M. Sadegh Riazi, Mohammad Samragh, Farinaz Koushanfar:
CAMsure: Secure Content-Addressable Memory for Approximate Search. ACM Trans. Embed. Comput. Syst. 16(5s): 136:1-136:20 (2017) - [j33]Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar:
RISE: An Automated Framework for Real-Time Intelligent Video Surveillance on FPGA. ACM Trans. Embed. Comput. Syst. 16(5s): 158:1-158:18 (2017) - [c110]Chip-Hong Chang, Marten van Dijk, Farinaz Koushanfar, Ulrich Rührmair, Mark M. Tehranipoor:
ASHES 2017: Workshop on Attacks and Solutions in Hardware Security. CCS 2017: 2623-2625 - [c109]M. Sadegh Riazi, Ebrahim M. Songhori, Farinaz Koushanfar:
PriSearch: Efficient Search on Private Data. DAC 2017: 14:1-14:6 - [c108]Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar:
Deep3: Leveraging Three Levels of Parallelism for Efficient Deep Learning. DAC 2017: 61:1-61:6 - [c107]Mohammad Samragh Razlighi, Mohsen Imani, Farinaz Koushanfar, Tajana Rosing:
LookNN: Neural network with no multiplication. DATE 2017: 1775-1780 - [c106]Mohammad Samragh, Mohammad Ghasemzadeh, Farinaz Koushanfar:
Customizing Neural Networks for Efficient FPGA Implementation. FCCM 2017: 85-92 - [c105]Huili Chen, Seetal Potluri, Farinaz Koushanfar:
BioChipWork: Reverse Engineering of Microfluidic Biochips. ICCD 2017: 9-16 - [c104]Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar:
ExtDict: Extensible Dictionaries for Data- and Platform-Aware Large-Scale Learning. IPDPS Workshops 2017: 379-388 - [c103]Miodrag Potkonjak, Gang Qu, Farinaz Koushanfar, Chip-Hong Chang:
20 Years of research on intellectual property protection. ISCAS 2017: 1-4 - [c102]Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar:
TinyDL: Just-in-time deep learning solution for constrained embedded systems. ISCAS 2017: 1-4 - [c101]Ghada Dessouky, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider, Shaza Zeitouni, Michael Zohner:
Pushing the Communication Barrier in Secure Computation using Lookup Tables. NDSS 2017 - [i11]Bita Darvish Rouhani, M. Sadegh Riazi, Farinaz Koushanfar:
DeepSecure: Scalable Provably-Secure Deep Learning. CoRR abs/1705.08963 (2017) - [i10]Bita Darvish Rouhani, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning. CoRR abs/1709.02538 (2017) - [i9]Mohammad Ghasemzadeh, Mohammad Samragh, Farinaz Koushanfar:
ResBinNet: Residual Binary Neural Network. CoRR abs/1711.01243 (2017) - [i8]Bita Darvish Rouhani, M. Sadegh Riazi, Farinaz Koushanfar:
DeepSecure: Scalable Provably-Secure Deep Learning. IACR Cryptol. ePrint Arch. 2017: 502 (2017) - [i7]Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
ARM2GC: Simple and Efficient Garbled Circuit Framework by Skipping. IACR Cryptol. ePrint Arch. 2017: 1157 (2017) - [i6]M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar:
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. IACR Cryptol. ePrint Arch. 2017: 1164 (2017) - 2016
- [j32]Siam U. Hussain, Mehrdad Majzoobi, Farinaz Koushanfar:
A Built-in-Self-Test Scheme for Online Evaluation of Physical Unclonable Functions and True Random Number Generators. IEEE Trans. Multi Scale Comput. Syst. 2(1): 2-16 (2016) - [j31]Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar:
Chime: Checkpointing Long Computations on Interm ittently Energized IoT Devices. IEEE Trans. Multi Scale Comput. Syst. 2(4): 277-290 (2016) - [j30]Bita Darvish Rouhani, Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar:
Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. ACM Trans. Reconfigurable Technol. Syst. 10(1): 8:1-8:22 (2016) - [c100]Arslan Munir, Farinaz Koushanfar:
D2CyberSoft: A design automation tool for soft error analysis of Dependable Cybercars. CCNC 2016: 459-466 - [c99]Arslan Munir, Farinaz Koushanfar:
Design and performance analysis of secure and dependable cybercars: A steer-by-wire case study. CCNC 2016: 1066-1073 - [c98]Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar:
Going deeper than deep learning for massive data analytics under physical constraints. CODES+ISSS 2016: 17:1-17:3 - [c97]Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar:
Perform-ML: performance optimized machine learning by platform and content aware customization. DAC 2016: 20:1-20:6 - [c96]Siam U. Hussain, Farinaz Koushanfar:
Privacy preserving localization for smart automotive systems. DAC 2016: 26:1-26:6 - [c95]Ebrahim M. Songhori, Shaza Zeitouni, Ghada Dessouky, Thomas Schneider, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
GarbledCPU: a MIPS processor for secure computation in hardware. DAC 2016: 73:1-73:6 - [c94]Tigist Abera, N. Asokan, Lucas Davi, Farinaz Koushanfar, Andrew Paverd, Ahmad-Reza Sadeghi, Gene Tsudik:
Invited - Things, trouble, trust: on building trust in IoT systems. DAC 2016: 121:1-121:6 - [c93]Ye Zhang, Farinaz Koushanfar:
Robust privacy-preserving fingerprint authentication. HOST 2016: 1-6 - [c92]Azalia Mirhoseini, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
CryptoML: Secure outsourcing of big data machine learning applications. HOST 2016: 149-154 - [c91]M. Sadegh Riazi, Neeraj K. R. Dantu, L. N. Vinay Gattu, Farinaz Koushanfar:
GenMatch: Secure DNA compatibility testing. HOST 2016: 248-253 - [c90]Bita Darvish Rouhani, Azalia Mirhoseini, Farinaz Koushanfar:
DeLight: Adding Energy Dimension To Deep Neural Networks. ISLPED 2016: 112-117 - [i5]M. Sadegh Riazi, Beidi Chen, Anshumali Shrivastava, Dan S. Wallach, Farinaz Koushanfar:
Sub-linear Privacy-preserving Search with Untrusted Server and Semi-honest Parties. CoRR abs/1612.01835 (2016) - 2015
- [j29]Azalia Mirhoseini, Miodrag Potkonjak, Farinaz Koushanfar:
Phase Change Memory Write Cost Minimization by Data Encoding. IEEE J. Emerg. Sel. Topics Circuits Syst. 5(1): 51-63 (2015) - [j28]Joonho Kong, Farinaz Koushanfar, Sung Woo Chung:
An Energy-Efficient Last-Level Cache Architecture for Process Variation-Tolerant 3D Microprocessors. IEEE Trans. Computers 64(9): 2460-2475 (2015) - [j27]Ramesh Karri, Farinaz Koushanfar, Ozgur Sinanoglu, Yiorgos Makris, Ken Mai, Ahmad-Reza Sadeghi, Swarup Bhunia:
Guest Editorial Special Section on Hardware Security and Trust. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(6): 873-874 (2015) - [c89]Markus Miettinen, N. Asokan, Farinaz Koushanfar, Thien Duc Nguyen, Jon Rios, Ahmad-Reza Sadeghi, Majid Sobhani, Sudha Yellapantula:
I Know Where You are: Proofs of Presence Resilient to Malicious Provers. AsiaCCS 2015: 567-577 - [c88]Daniel Demmler, Ghada Dessouky, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider, Shaza Zeitouni:
Automated Synthesis of Optimized Circuits for Secure Computation. CCS 2015: 1504-1517 - [c87]Ebrahim M. Songhori, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar:
Compacting privacy-preserving k-nearest neighbor search using logic synthesis. DAC 2015: 36:1-36:6 - [c86]Ebrahim M. Songhori, Azalia Mirhoseini, Xuyang Lu, Farinaz Koushanfar:
AHEAD: automated framework for hardware accelerated iterative data analysis. DATE 2015: 942-947 - [c85]Bita Darvish Rouhani, Ebrahim M. Songhori, Azalia Mirhoseini, Farinaz Koushanfar:
SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA. FCCM 2015: 187-194 - [c84]Joonho Kong, Arslan Munir, Farinaz Koushanfar:
Fine-Grained Voltage Boosting for Improving Yield in Near-Threshold Many-Core Processors. ACM Great Lakes Symposium on VLSI 2015: 225-228 - [c83]Andrew B. Kahng, Farinaz Koushanfar:
Evolving EDA Beyond its E-Roots: An Overview. ICCAD 2015: 247-254 - [c82]Farinaz Koushanfar, Azalia Mirhoseini, Gang Qu, Zhiru Zhang:
DA Systemization of Knowledge: A Catalog of Prior Forward-Looking Initiatives. ICCAD 2015: 255-262 - [c81]Azalia Mirhoseini, Ebrahim M. Songhori, Bita Darvish Rouhani, Farinaz Koushanfar:
Flexible Transformations For Learning Big Data. SIGMETRICS 2015: 453-454 - [c80]Ebrahim M. Songhori, Siam U. Hussain, Ahmad-Reza Sadeghi, Thomas Schneider, Farinaz Koushanfar:
TinyGarble: Highly Compressed and Scalable Sequential Garbled Circuits. IEEE Symposium on Security and Privacy 2015: 411-428 - [i4]Azalia Mirhoseini, Eva L. Dyer, Ebrahim M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar:
RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets. CoRR abs/1503.08169 (2015) - 2014
- [j26]Arslan Munir, Ann Gordon-Ross, Sanjay Ranka, Farinaz Koushanfar:
A queueing theoretic approach for performance evaluation of low-power multi-core embedded systems. J. Parallel Distributed Comput. 74(1): 1872-1890 (2014) - [j25]Ramesh Karri, Farinaz Koushanfar:
Trustworthy Hardware [Scanning the Issue]. Proc. IEEE 102(8): 1123-1125 (2014) - [j24]Charles Herder, Meng-Day (Mandel) Yu, Farinaz Koushanfar, Srinivas Devadas:
Physical Unclonable Functions and Applications: A Tutorial. Proc. IEEE 102(8): 1126-1141 (2014) - [j23]Masoud Rostami, Farinaz Koushanfar, Ramesh Karri:
A Primer on Hardware Security: Models, Methods, and Metrics. Proc. IEEE 102(8): 1283-1295 (2014) - [j22]Abdullah Nazma Nowroz, Kangqiao Hu, Farinaz Koushanfar, Sherief Reda:
Novel Techniques for High-Sensitivity Hardware Trojan Detection Using Thermal and Power Maps. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(12): 1792-1805 (2014) - [j21]Joonho Kong, Farinaz Koushanfar:
Processor-Based Strong Physical Unclonable Functions With Aging-Based Response Tuning. IEEE Trans. Emerg. Top. Comput. 2(1): 16-29 (2014) - [j20]Masoud Rostami, Mehrdad Majzoobi, Farinaz Koushanfar, Dan S. Wallach, Srinivas Devadas:
Robust and Reverse-Engineering Resilient PUF Authentication and Key-Exchange by Substring Matching. IEEE Trans. Emerg. Top. Comput. 2(1): 37-49 (2014) - [c79]Ulrich Rührmair, Xiaolin Xu, Jan Sölter, Ahmed Mahmoud, Mehrdad Majzoobi, Farinaz Koushanfar, Wayne P. Burleson:
Efficient Power and Timing Side Channels for Physical Unclonable Functions. CHES 2014: 476-492 - [c78]Joonho Kong, Farinaz Koushanfar, Praveen Kumar Pendyala, Ahmad-Reza Sadeghi, Christian Wachsmann:
PUFatt: Embedded Platform Attestation Based on Novel Processor-Based PUFs. DAC 2014: 109:1-109:6 - [c77]James B. Wendt, Farinaz Koushanfar, Miodrag Potkonjak:
Techniques for Foundry Identification. DAC 2014: 208:1-208:6 - [c76]Arslan Munir, Farinaz Koushanfar:
D2Cyber: A design automation tool for dependable cybercars. DATE 2014: 1-4 - [c75]Masoud Rostami, James B. Wendt, Miodrag Potkonjak, Farinaz Koushanfar:
Quo vadis, PUF?: Trends and challenges of emerging physical-disorder based security. DATE 2014: 1-6 - [c74]Siam U. Hussain, Sudha Yellapantula, Mehrdad Majzoobi, Farinaz Koushanfar:
BIST-PUF: online, hardware-based evaluation of physically unclonable circuit identifiers. ICCAD 2014: 162-169 - [c73]Davood Shahrjerdi, Jeyavijayan Rajendran, Siddharth Garg, Farinaz Koushanfar, Ramesh Karri:
Shielding and securing integrated circuits with sensors. ICCAD 2014: 170-174 - [c72]Farinaz Koushanfar, Ramesh Karri:
Can the SHIELD protect our integrated circuits? MWSCAS 2014: 350-353 - [i3]Mehrdad Majzoobi, Akshat Kharaya, Farinaz Koushanfar, Srinivas Devadas:
Automated Design, Implementation, and Evaluation of Arbiter-based PUF on FPGA using Programmable Delay Lines. IACR Cryptol. ePrint Arch. 2014: 639 (2014) - 2013
- [j19]Yen-Kuang Chen, An-Yeu Wu, Magdy A. Bayoumi, Farinaz Koushanfar:
Editorial: Low-Power, Intelligent, and Secure Solutions for Realization of Internet of Things. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(1): 1-4 (2013) - [j18]Negar Kiyavash, Farinaz Koushanfar, Todd P. Coleman, Mavis Rodrigues:
A Timing Channel Spyware for the CSMA/CA Protocol. IEEE Trans. Inf. Forensics Secur. 8(3): 477-487 (2013) - [j17]Arslan Munir, Farinaz Koushanfar, Ann Gordon-Ross, Sanjay Ranka:
High-performance optimizations on tiled many-core embedded systems: a matrix multiplication case study. J. Supercomput. 66(1): 431-487 (2013) - [j16]Mehrdad Majzoobi, Joonho Kong, Farinaz Koushanfar:
Low-power resource binding by postsilicon customization. ACM Trans. Design Autom. Electr. Syst. 18(2): 26:1-26:22 (2013) - [c71]Masoud Rostami, Ari Juels, Farinaz Koushanfar:
Heart-to-heart (H2H): authentication for implanted medical devices. CCS 2013: 1099-1112 - [c70]Arslan Munir, Farinaz Koushanfar, Hervé Seudie, Ahmad-Reza Sadeghi:
CyCAR'2013: first international academic workshop on security, privacy and dependability for cybervehicles. CCS 2013: 1481-1482 - [c69]Masoud Rostami, Wayne P. Burleson, Farinaz Koushanfar, Ari Juels:
Balancing security and utility in medical devices? DAC 2013: 13:1-13:6 - [c68]Yida Yao, MyungBo Kim, Jianmin Li, Igor L. Markov, Farinaz Koushanfar:
ClockPUF: physical unclonable functions based on clock networks. DATE 2013: 422-427 - [c67]Kangqiao Hu, Abdullah Nazma Nowroz, Sherief Reda, Farinaz Koushanfar:
High-sensitivity hardware trojan detection using multimodal characterization. DATE 2013: 1271-1276 - [c66]Masoud Rostami, Farinaz Koushanfar, Jeyavijayan Rajendran, Ramesh Karri:
Hardware security: threat models and metrics. ICCAD 2013: 819-823 - [c65]Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar:
Automated checkpointing for enabling intensive applications on energy harvesting devices. ISLPED 2013: 27-32 - [c64]Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar:
Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs. PerCom 2013: 216-224 - [i2]Ahmed Mahmoud, Ulrich Rührmair, Mehrdad Majzoobi, Farinaz Koushanfar:
Combined Modeling and Side Channel Attacks on Strong PUFs. IACR Cryptol. ePrint Arch. 2013: 632 (2013) - [i1]Ulrich Rührmair, Xiaolin Xu, Jan Sölter, Ahmed Mahmoud, Farinaz Koushanfar, Wayne P. Burleson:
Power and Timing Side Channels for PUFs and their Efficient Exploitation. IACR Cryptol. ePrint Arch. 2013: 851 (2013) - 2012
- [j15]Farinaz Koushanfar:
Provably Secure Active IC Metering Techniques for Piracy Avoidance and Digital Rights Management. IEEE Trans. Inf. Forensics Secur. 7(1): 51-63 (2012) - [j14]Sheng Wei, Ani Nahapetian, Michael Nelson, Farinaz Koushanfar, Miodrag Potkonjak:
Gate Characterization Using Singular Value Decomposition: Foundations and Applications. IEEE Trans. Inf. Forensics Secur. 7(2): 765-773 (2012) - [c63]Azalia Mirhoseini, Miodrag Potkonjak, Farinaz Koushanfar:
Coding-based energy minimization for phase change memory. DAC 2012: 68-76 - [c62]Sheng Wei, Kai Li, Farinaz Koushanfar, Miodrag Potkonjak:
Hardware Trojan horse benchmark via optimal creation and placement of malicious circuitry. DAC 2012: 90-95 - [c61]Farinaz Koushanfar, Saverio Fazzari, Carl McCants, William Bryson, Matthew Sale, Peilin Song, Miodrag Potkonjak:
Can EDA combat the rise of electronic counterfeiting? DAC 2012: 133-138 - [c60]Farinaz Koushanfar, Ahmad-Reza Sadeghi, Hervé Seudie:
EDA for secure and dependable cybercars: challenges and opportunities. DAC 2012: 220-228 - [c59]Sheng Wei, Kai Li, Farinaz Koushanfar, Miodrag Potkonjak:
Provably complete hardware Trojan detection using test point insertion. ICCAD 2012: 569-576 - [c58]Mehrdad Majzoobi, Masoud Rostami, Farinaz Koushanfar, Dan S. Wallach, Srinivas Devadas:
Slender PUF Protocol: A Lightweight, Robust, and Secure Authentication by Substring Matching. IEEE Symposium on Security and Privacy Workshops 2012: 33-44 - 2011
- [j13]Farinaz Koushanfar, Azalia Mirhoseini:
A Unified Framework for Multimodal Submodular Integrated Circuits Trojan Detection. IEEE Trans. Inf. Forensics Secur. 6(1): 162-174 (2011) - [j12]Mehrdad Majzoobi, Farinaz Koushanfar:
Time-Bounded Authentication of FPGAs. IEEE Trans. Inf. Forensics Secur. 6(3-2): 1123-1135 (2011) - [c57]Farinaz Koushanfar:
Trusting the open latent IC backdoors. STC@CCS 2011: 1-2 - [c56]Mehrdad Majzoobi, Farinaz Koushanfar, Srinivas Devadas:
FPGA-Based True Random Number Generation Using Circuit Metastability with Adaptive Feedback Control. CHES 2011: 17-32 - [c55]Eva L. Dyer, Mehrdad Majzoobi, Farinaz Koushanfar:
Hybrid modeling of non-stationary process variations. DAC 2011: 194-199 - [c54]Azalia Mirhoseini, Farinaz Koushanfar:
HypoEnergy. Hybrid supercapacitor-battery power-supply optimization for Energy efficiency. DATE 2011: 887-890 - [c53]Sheng Wei, Farinaz Koushanfar, Miodrag Potkonjak:
Integrated circuit digital rights management techniques using physical level characterization. Digital Rights Management Workshop 2011: 3-14 - [c52]Farinaz Koushanfar:
Integrated circuits metering for piracy protection and digital rights management: an overview. ACM Great Lakes Symposium on VLSI 2011: 449-454 - [c51]Mehrdad Majzoobi, Golsa Ghiaasi, Farinaz Koushanfar, Sani R. Nassif:
Ultra-low power current-based PUF. ISCAS 2011: 2071-2074 - [c50]Farinaz Koushanfar, Azalia Mirhoseini:
Hybrid heterogeneous energy supply networks. ISCAS 2011: 2489-2492 - [c49]Azalia Mirhoseini, Farinaz Koushanfar:
Learning to manage combined energy supply systems. ISLPED 2011: 229-234 - 2010
- [j11]Jarrod A. Roy, Farinaz Koushanfar, Igor L. Markov:
Ending Piracy of Integrated Circuits. Computer 43(10): 30-38 (2010) - [j10]Mohammad Tehranipoor, Farinaz Koushanfar:
Guest Editors' Introduction: Confronting the Hardware Trustworthiness Problem. IEEE Des. Test Comput. 27(1): 8-9 (2010) - [j9]Mohammad Tehranipoor, Farinaz Koushanfar:
A Survey of Hardware Trojan Taxonomy and Detection. IEEE Des. Test Comput. 27(1): 10-25 (2010) - [j8]Farinaz Koushanfar, Mehrdad Majzoobi, Miodrag Potkonjak:
Nonparametric combinatorial regression for shape constrained modeling. IEEE Trans. Signal Process. 58(2): 626-637 (2010) - [c48]Azalia Mirhoseini, Yousra Alkabani, Farinaz Koushanfar:
Real time emulations: foundation and applications. DAC 2010: 623-624 - [c47]Farinaz Koushanfar:
Hierarchical hybrid power supply networks. DAC 2010: 629-630 - [c46]Farinaz Koushanfar, Yousra Alkabani:
Provably Secure Obfuscation of Diverse Watermarks for Sequential Circuits. HOST 2010: 42-47 - [c45]Mehrdad Majzoobi, Ahmed Elnably, Farinaz Koushanfar:
FPGA Time-Bounded Unclonable Authentication. Information Hiding 2010: 1-16 - [c44]Farinaz Koushanfar, Azalia Mirhoseini, Yousra Alkabani:
A Unified Submodular Framework for Multimodal IC Trojan Detection. Information Hiding 2010: 17-32 - [c43]Mehrdad Majzoobi, Eva L. Dyer, Ahmed Elnably, Farinaz Koushanfar:
Rapid FPGA delay characterization using clock synthesis and sparse sampling. ITC 2010: 457-466 - [c42]Mehrdad Majzoobi, Farinaz Koushanfar, Srinivas Devadas:
FPGA PUF using programmable delay lines. WIFS 2010: 1-6
2000 – 2009
- 2009
- [j7]Mehrdad Majzoobi, Farinaz Koushanfar, Miodrag Potkonjak:
Techniques for Design and Implementation of Secure Reconfigurable PUFs. ACM Trans. Reconfigurable Technol. Syst. 2(1): 5:1-5:33 (2009) - [c41]Andrea Candore, Övünç Kocabas, Farinaz Koushanfar:
Robust Stable Radiometric Fingerprinting for Frequency Reconfigurable Devices. HOST 2009: 43-49 - [c40]Yousra Alkabani, Farinaz Koushanfar:
Consistency-based characterization for IC Trojan detection. ICCAD 2009: 123-127 - [c39]Michael Nelson, Ani Nahapetian, Farinaz Koushanfar, Miodrag Potkonjak:
SVD-Based Ghost Circuitry Detection. Information Hiding 2009: 221-234 - [c38]Yousra Alkabani, Farinaz Koushanfar, Miodrag Potkonjak:
N-version temperature-aware scheduling and binding. ISLPED 2009: 331-334 - 2008
- [c37]Yousra Alkabani, Farinaz Koushanfar:
Active control and digital rights management of integrated circuit IP cores. CASES 2008: 227-234 - [c36]Miodrag Potkonjak, Farinaz Koushanfar:
(Bio)-behavioral CAD. DAC 2008: 351-352 - [c35]Yousra Alkabani, Farinaz Koushanfar:
N-variant IC design: methodology and applications. DAC 2008: 546-551 - [c34]Yousra Alkabani, Tammara Massey, Farinaz Koushanfar, Miodrag Potkonjak:
Input vector control for post-silicon leakage current minimization in the presence of manufacturing variability. DAC 2008: 606-609 - [c33]Jarrod A. Roy, Farinaz Koushanfar, Igor L. Markov:
Protecting bus-based hardware IP by secret sharing. DAC 2008: 846-851 - [c32]Jarrod A. Roy, Farinaz Koushanfar, Igor L. Markov:
EPIC: Ending Piracy of Integrated Circuits. DATE 2008: 1069-1074 - [c31]Jarrod A. Roy, Farinaz Koushanfar, Igor L. Markov:
Circuit CAD Tools as a Security Threat. HOST 2008: 65-66 - [c30]Yousra Alkabani, Farinaz Koushanfar:
Designer's Hardware Trojan Horse. HOST 2008: 82-83 - [c29]Farinaz Koushanfar, Petros Boufounos, Davood Shamsi:
Post-silicon timing characterization by compressed sensing. ICCAD 2008: 185-189 - [c28]Mehrdad Majzoobi, Farinaz Koushanfar, Miodrag Potkonjak:
Lightweight secure PUFs. ICCAD 2008: 670-673 - [c27]Yousra Alkabani, Farinaz Koushanfar, Negar Kiyavash, Miodrag Potkonjak:
Trusted Integrated Circuits: A Nondestructive Hidden Characteristics Extraction Approach. Information Hiding 2008: 102-117 - [c26]Davood Shamsi, Petros Boufounos, Farinaz Koushanfar:
Noninvasive leakage power tomography of integrated circuits by compressive sensing. ISLPED 2008: 341-346 - [c25]Mehrdad Majzoobi, Farinaz Koushanfar, Miodrag Potkonjak:
Testing Techniques for Hardware Security. ITC 2008: 1-10 - [c24]Davood Shamsi, Farinaz Koushanfar, Miodrag Potkonjak:
Challenging benchmark for location discovery in ad hoc networks: foundations and applications. MobiHoc 2008: 361-370 - 2007
- [j6]Farinaz Koushanfar, Abhijit Davare, David T. Nguyen, Alberto L. Sangiovanni-Vincentelli, Miodrag Potkonjak:
Techniques for maintaining connectivity in wireless ad-hoc networks under energy constraints. ACM Trans. Embed. Comput. Syst. 6(3): 16 (2007) - [c23]Farinaz Koushanfar, Miodrag Potkonjak:
CAD-based Security, Cryptography, and Digital Rights Management. DAC 2007: 268-269 - [c22]Yousra Alkabani, Farinaz Koushanfar, Miodrag Potkonjak:
Remote activation of ICs for piracy prevention and digital right management. ICCAD 2007: 674-677 - [c21]Stephen So, Farinaz Koushanfar, Anatoliy Kosterev, Frank K. Tittel:
LaserSPECks: : laser SPECtroscopic trace-gas sensor networks - sensor integration and applications. IPSN 2007: 226-235 - [c20]Negar Kiyavash, Farinaz Koushanfar:
Anti-Collusion Position Estimation in Wireless Sensor Networks. MASS 2007: 1-9 - [c19]Farinaz Koushanfar, Miodrag Potkonjak:
Hardware Security: Preparing Students for the Next Design Frontier. MSE 2007: 67-68 - [c18]Farinaz Koushanfar, Miodrag Potkonjak:
Integration of Statistical Techniques in the Design Curriculum. MSE 2007: 153-154 - [c17]Yousra Alkabani, Farinaz Koushanfar:
Active Hardware Metering for Intellectual Property Protection and Security. USENIX Security Symposium 2007 - 2006
- [c16]Farinaz Koushanfar, Nina Taft, Miodrag Potkonjak:
Sleeping Coordination for Comprehensive Sensing Using Isotonic Regression and Domatic Partitions. INFOCOM 2006 - 2005
- [j5]Seapahn Megerian, Farinaz Koushanfar, Miodrag Potkonjak, Mani B. Srivastava:
Worst and Best-Case Coverage in Sensor Networks. IEEE Trans. Mob. Comput. 4(1): 84-92 (2005) - [j4]Farinaz Koushanfar, Inki Hong, Miodrag Potkonjak:
Behavioral synthesis techniques for intellectual property protection. ACM Trans. Design Autom. Electr. Syst. 10(3): 523-545 (2005) - [c15]Jennifer L. Wong, Farinaz Koushanfar, Miodrag Potkonjak:
Flexible ASIC: shared masking for multiple media processors. DAC 2005: 909-914 - 2004
- [j3]Jennifer L. Wong, Farinaz Koushanfar, Seapahn Megerian, Miodrag Potkonjak:
Probabilistic constructive optimization techniques. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 23(6): 859-868 (2004) - [p3]Farinaz Koushanfar, Miodrag Potkonjak, Jessica Feng:
Sensor Network Architecture. Handbook of Sensor Networks 2004 - [p2]Farinaz Koushanfar, Miodrag Potkonjak, Jessica Feng:
Localized Algorithms for Sensor Networks. Handbook of Sensor Networks 2004 - [p1]Farinaz Koushanfar, Miodrag Potkonjak, Alberto L. Sangiovanni-Vincentelli:
Fault Tolerance in Wireless Sensor Networks. Handbook of Sensor Networks 2004 - 2003
- [c14]Farinaz Koushanfar, Abhijit Davare, Dai Tho Nguyen, Miodrag Potkonjak, Alberto L. Sangiovanni-Vincentelli:
Low power coordination in wireless ad-hoc networks. ISLPED 2003: 475-480 - 2002
- [j2]Seapahn Megerian, Farinaz Koushanfar, Gang Qu, Giacomino Veltri, Miodrag Potkonjak:
Exposure in Wireless Sensor Networks: Theory and Practical Solutions. Wirel. Networks 8(5): 443-454 (2002) - [c13]Farinaz Koushanfar, Jennifer L. Wong, Jessica Feng, Miodrag Potkonjak:
ILP-based engineering change. DAC 2002: 910-915 - [c12]Farinaz Koushanfar, Sasha Slijepcevic, Jennifer L. Wong, Miodrag Potkonjak:
Global error-tolerant algorithms for location discovery in ad-hoc wireless Netoworks. ICASSP 2002: 4186 - [c11]Jessica Feng, Farinaz Koushanfar, Miodrag Potkonjak:
System-Architectures for Sensor Networks Issues, Alternatives, and Directions. ICCD 2002: 226- - 2001
- [j1]Farinaz Koushanfar, Darko Kirovski, Inki Hong, Miodrag Potkonjak, Marios C. Papaefthymiou:
Symbolic debugging of embedded hardware and software. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 20(3): 392-401 (2001) - [c10]Farinaz Koushanfar, Gang Qu:
Hardware Metering. DAC 2001: 490-493 - [c9]Seapahn Meguerdichian, Farinaz Koushanfar, Advait M. Mogre, Dusan Petranovic, Miodrag Potkonjak:
MetaCores: Design and Optimization Techniques. DAC 2001: 585-590 - [c8]Jennifer L. Wong, Farinaz Koushanfar, Seapahn Meguerdichian, Miodrag Potkonjak:
A Probabilistic Constructive Approach to Optimization Problems. ICCAD 2001: 453- - [c7]Farinaz Koushanfar, Gang Qu, Miodrag Potkonjak:
Intellectual Property Metering. Information Hiding 2001: 81-95 - [c6]Seapahn Meguerdichian, Farinaz Koushanfar, Miodrag Potkonjak, Mani B. Srivastava:
Coverage Problems in Wireless Ad-hoc Sensor Networks. INFOCOM 2001: 1380-1387 - [c5]Seapahn Meguerdichian, Farinaz Koushanfar, Gang Qu, Miodrag Potkonjak:
Exposure in wireless Ad-Hoc sensor networks. MobiCom 2001: 139-150 - 2000
- [c4]Andrew E. Caldwell, Yu Cao, Andrew B. Kahng, Farinaz Koushanfar, Hua Lu, Igor L. Markov, Michael Oliver, Dirk Stroobandt, Dennis Sylvester:
GTX: the MARCO GSRC technology extrapolation system. DAC 2000: 693-698 - [c3]Farinaz Koushanfar, Darko Kirovski, Miodrag Potkonjak:
Symbolic Debugging Scheme for Optimized Hardware and Software. ICCAD 2000: 40-43 - [c2]Jan M. Rabaey, Miodrag Potkonjak, Farinaz Koushanfar, Suet-Fei Li, Tim Tuan:
Challenges and Opportunities in Broadband and Wireless Communication Designs. ICCAD 2000: 76-82 - [c1]Farinaz Koushanfar, Miodrag Potkonjak, Vandana Prabhu, Jan M. Rabaey:
Processors for Mobile Applications. ICCD 2000: 603-608
Coauthor Index
Yousra Al-Kabani
aka: Yousra Alkabani
aka: Yousra Alkabani
Shehzeen Hussain
aka: Shehzeen Samarah Hussain
aka: Shehzeen Samarah Hussain
Siam U. Hussain
aka: Siam Umar Hussain
aka: Siam Umar Hussain
Mohammad Samragh Razlighi
aka: Mohammad Samragh
aka: Mohammad Samragh
Bita Darvish Rouhani
aka: Bita Darvish Rohani
aka: Bita Darvish Rohani
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last updated on 2025-04-16 21:23 CEST by the dblp team
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