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Houman Homayoun
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2020 – today
- 2024
- [j49]Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Muhtasim Alam Chowdhury, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Soheil Salehi:
Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2031-2044 (2024) - [c197]Najmeh Nazari, Behnam Omidi, Chongzhou Fang, Hosein Mohammadi Makrani, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Khaled N. Khasawneh:
SpecScope: Automating Discovery of Exploitable Spectre Gadgets on Black-Box Microarchitectures. DATE 2024: 1-6 - [c196]Banafsheh Saber Latibari, Soheil Salehi, Houman Homayoun, Avesta Sasan:
IRET: Incremental Resolution Enhancing Transformer. ACM Great Lakes Symposium on VLSI 2024: 620-625 - [c195]Ali Karkehabadi, Houman Homayoun, Avesta Sasan:
FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropogation. ACM Great Lakes Symposium on VLSI 2024: 626-632 - [c194]Najmeh Nazari, Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Muhtasim Alam Chowdhury, Chongzhou Fang, Avesta Sasan, Setareh Rafatirad, Houman Homayoun, Soheil Salehi:
Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures. ISCAS 2024: 1-5 - [c193]Najmeh Nazari, Furi Xiang, Chongzhou Fang, Hosein Mohammadi Makrani, Aditya Puri, Kartik Patwari, Hossein Sayadi, Setareh Rafatirad, Chen-Nee Chuah, Houman Homayoun:
LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices. ISQED 2024: 1-6 - [c192]Hossein Sayadi, Zhangying He, Hosein Mohammadi Makrani, Houman Homayoun:
Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey. ISQED 2024: 1-10 - [c191]Asmita, Yaroslav Oliinyk, Michael Scott, Ryan Tsang, Chongzhou Fang, Houman Homayoun:
Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing. USENIX Security Symposium 2024 - [c190]Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun:
Large Language Models for Code Analysis: Do LLMs Really Do Their Job? USENIX Security Symposium 2024 - [c189]Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Hossein Sayadi, Setareh Rafatirad, Khaled N. Khasawneh, Houman Homayoun:
Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks. USENIX Security Symposium 2024 - [c188]Ryan Tsang, Asmita, Doreen Joseph, Soheil Salehi, Prasant Mohapatra, Houman Homayoun:
FFXE: Dynamic Control Flow Graph Recovery for Embedded Firmware Binaries. USENIX Security Symposium 2024 - [i33]Asmita, Yaroslav Oliinyk, Michael Scott, Ryan Tsang, Chongzhou Fang, Houman Homayoun:
Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing. CoRR abs/2403.03897 (2024) - [i32]Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Generative AI-Based Effective Malware Detection for Embedded Computing Systems. CoRR abs/2404.02344 (2024) - [i31]Banafsheh Saber Latibari, Sujan Ghimire, Muhtasim Alam Chowdhury, Najmeh Nazari, Kevin Immanuel Gubbi, Houman Homayoun, Avesta Sasan, Soheil Salehi:
Automated Hardware Logic Obfuscation Framework Using GPT. CoRR abs/2405.12197 (2024) - [i30]Ali Karkehabadi, Houman Homayoun, Avesta Sasan:
FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation. CoRR abs/2405.12443 (2024) - 2023
- [j48]Sayed Aresh Beheshti-Shirazi, Najmeh Nazari, Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Setareh Rafatirad, Houman Homayoun, Avesta Sasan, Sai Manoj P. D.:
Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization. IEEE Access 11: 87869-87886 (2023) - [j47]Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Behnam Omidi, Setareh Rafatirad, Hossein Sayadi, Khaled N. Khasawneh, Houman Homayoun:
Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems. IEEE Micro 43(5): 35-44 (2023) - [j46]Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Anirudh Srikanth, Tyler Sheaves, Sayed Arash Beheshti-Shirazi, Sai Manoj PD, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Soheil Salehi:
Hardware Trojan Detection Using Machine Learning: A Tutorial. ACM Trans. Embed. Comput. Syst. 22(3): 46:1-46:26 (2023) - [c187]Elahe Hosseini, Ruijie Fang, Ruoyu Zhang, Setareh Rafatirad, Houman Homayoun:
Emotion and Stress Recognition Utilizing Galvanic Skin Response and Wearable Technology: A Real-time Approach for Mental Health Care. BIBM 2023: 1125-1131 - [c186]Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Chongzhou Fang, Setareh Rafatirad, Houman Homayoun:
Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing. BIBM 2023: 1890-1894 - [c185]Chongzhou Fang, Ning Miao, Han Wang, Jiacheng Zhou, Tyler Sheaves, John Marty Emmert, Avesta Sasan, Houman Homayoun:
Gotcha! I Know What You Are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links. CCS 2023: 2024-2037 - [c184]Ruoyu Zhang, Ruijie Fang, Zhichao Zhang, Elahe Hosseini, Mahdi Orooji, Houman Homayoun, Gozde Goncu Berk:
Short: Real-Time Bladder Monitoring by Bio-impedance Analysis to Aid Urinary Incontinence. CHASE 2023: 138-142 - [c183]Nima Kavand, Armin Darjani, Jens Trommer, Giulio Galderisi, Thomas Mikolajick, Nicolai Müller, Amir Moradi, Chongzhou Fang, Ning Miao, Han Wang, Sai Manoj P. D., Houman Homayoun, Benjamin Hettwer, Luca Parrini, Akash Kumar:
Special Session: Mitigating Side-Channel Attacks Through Circuit to Application Layer Approaches. CODES+ISSS 2023: 8-17 - [c182]Najmeh Nazari, Chongzhou Fang, Sai Manoj P. D., Houman Homayoun:
Don't Cross Me! Cross-layer System Security. DAC 2023: 1-2 - [c181]Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Federated Learning with Heterogeneous Models for On-device Malware Detection in IoT Networks. DATE 2023: 1-6 - [c180]Ruoyu Zhang, Ruijie Fang, Chongzhou Fang, Houman Homayoun, Gozde Goncu Berk:
Privee: A Wearable for Real-Time Bladder Monitoring System. UbiComp/ISWC Adjunct 2023: 291-295 - [c179]Jialin Liu, Houman Homayoun, Chongzhou Fang, Ning Miao, Han Wang:
Side Channel-Assisted Inference Attacks on Machine Learning-Based ECG Classification. ICCAD 2023: 1-9 - [c178]Sutej Kulkarni, Ryan Tsang, Asmita, Houman Homayoun, Soheil Salehi:
Leveraging Firmware Reverse Engineering for Stealthy Sensor Attacks via Binary Modification. ICCD 2023: 1-8 - [c177]Kevin Immanuel Gubbi, Inderpreet Kaur, Abdallah Hashem, Sai Manoj P. D., Houman Homayoun, Avesta Sasan, Soheil Salehi:
Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators. MWSCAS 2023: 821-825 - [c176]Chongzhou Fang, Najmeh Nazari, Behnam Omidi, Han Wang, Aditya Puri, Manish Arora, Setareh Rafatirad, Houman Homayoun, Khaled N. Khasawneh:
HeteroScore: Evaluating and Mitigating Cloud Security Threats Brought by Heterogeneity. NDSS 2023 - [i29]Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang:
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification. CoRR abs/2304.01990 (2023) - [i28]Chongzhou Fang, Ning Miao, Han Wang, Jiacheng Zhou, Tyler Sheaves, John Marty Emmert, Avesta Sasan, Houman Homayoun:
Gotcha! I Know What You are Doing on the FPGA Cloud: Fingerprinting Co-Located Cloud FPGA Accelerators via Measuring Communication Links. CoRR abs/2305.07209 (2023) - [i27]Ali Karkehabadi, Houman Homayoun, Avesta Sasan:
SMOOT: Saliency Guided Mask Optimized Online Training. CoRR abs/2310.00772 (2023) - [i26]Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, Houman Homayoun:
Large Language Models for Code Analysis: Do LLMs Really Do Their Job? CoRR abs/2310.12357 (2023) - [i25]Yu-Zheng Lin, Muntasir Mamun, Muhtasim Alam Chowdhury, Shuyu Cai, Mingyu Zhu, Banafsheh Saber Latibari, Kevin Immanuel Gubbi, Najmeh Nazari Bavarsad, Arjun Caputo, Avesta Sasan, Houman Homayoun, Setareh Rafatirad, Pratik Satam, Soheil Salehi:
HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion. CoRR abs/2312.13530 (2023) - 2022
- [j45]Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Houman Homayoun, Nicholas R. Waytowich, Tinoosh Mohsenin:
A Hardware Accelerator for Language-Guided Reinforcement Learning. IEEE Des. Test 39(3): 37-44 (2022) - [j44]Arnab Neelim Mazumder, Haoran Ren, Hasib-Al Rashid, Morteza Hosseini, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin:
Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor. IEEE Des. Test 39(3): 82-90 (2022) - [j43]Abhijitt Dhavlle, Setareh Rafatirad, Khaled N. Khasawneh, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Imitating Functional Operations for Mitigating Side-Channel Leakage. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 868-881 (2022) - [j42]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Neural Network-Based Cognitive Obfuscation Toward Enhanced Logic Locking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4587-4599 (2022) - [j41]Gaurav Kolhe, Tyler David Sheaves, Sai Manoj P. D., Hamid Mahmoodi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Breaking the Design and Security Trade-off of Look-up-table-based Obfuscation. ACM Trans. Design Autom. Electr. Syst. 27(6): 56:1-56:29 (2022) - [c175]Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Anna M. Parenteau, Sally Hang, Setareh Rafatirad, Camelia E. Hostinar, Mahdi Orooji, Houman Homayoun:
Towards Generalized ML Model in Automated Physiological Arousal Computing: A Transfer Learning-Based Domain Generalization Approach. BIBM 2022: 2577-2584 - [c174]Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Anna M. Parenteau, Sally Hang, Setareh Rafatirad, Camelia E. Hostinar, Mahdi Orooji, Houman Homayoun:
Prevent Over-fitting and Redundancy in Physiological Signal Analyses for Stress Detection. BIBM 2022: 2585-2588 - [c173]Elahe Hosseini, Ruijie Fang, Ruoyu Zhang, Anna Parenteau, Sally Hang, Setareh Rafatirad, Camelia Hostinar, Mahdi Orooji, Houman Homayoun:
A Low Cost EDA-based Stress Detection Using Machine Learning. BIBM 2022: 2619-2623 - [c172]Gaurav Kolhe, Tyler David Sheaves, Kevin Immanuel Gubbi, Soheil Salehi, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Houman Homayoun:
LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking. DAC 2022: 85-90 - [c171]Gaurav Kolhe, Tyler Sheaves, Kevin Immanuel Gubbi, Tejas Kadale, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan, Hamid Mahmoodi, Houman Homayoun:
Silicon validation of LUT-based logic-locked IP cores. DAC 2022: 1189-1194 - [c170]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
CR-Spectre: Defense-Aware ROP Injected Code-Reuse Based Dynamic Spectre. DATE 2022: 508-513 - [c169]Han Wang, Syed Mahbub Hafiz, Kartik Patwari, Chen-Nee Chuah, Zubair Shafiq, Houman Homayoun:
Stealthy Inference Attack on DNN via Cache-based Side-Channel Attacks. DATE 2022: 1515-1520 - [c168]Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Mahdi Orooji, Houman Homayoun, Sayed Mohammad Hosseini, Mahya Faghih, Soheil Rafatirad, Setareh Rafatirad:
ATLAS: An Adaptive Transfer Learning Based Pain Assessment System: A Real Life Unsupervised Pain Assessment Solution. EMBC 2022: 1331-1337 - [c167]Elahe Hosseini, Ruijie Fang, Ruoyu Zhang, Chen-Nee Chuah, Mahdi Orooji, Soheil Rafatirad, Setareh Rafatirad, Houman Homayoun:
Convolution Neural Network for Pain Intensity Assessment from Facial Expression. EMBC 2022: 2697-2702 - [c166]Kartik Patwari, Syed Mahbub Hafiz, Han Wang, Houman Homayoun, Zubair Shafiq, Chen-Nee Chuah:
DNN Model Architecture Fingerprinting Attack on CPU-GPU Edge Devices. EuroS&P 2022: 337-355 - [c165]Zhangying He, Amin Rezaei, Houman Homayoun, Hossein Sayadi:
Deep Neural Network and Transfer Learning for Accurate Hardware-Based Zero-Day Malware Detection. ACM Great Lakes Symposium on VLSI 2022: 27-32 - [c164]Sanket Shukla, Gaurav Kolhe, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D.:
RAFeL - Robust and Data-Aware Federated Learning-inspired Malware Detection in Internet-of-Things (IoT) Networks. ACM Great Lakes Symposium on VLSI 2022: 153-157 - [c163]Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Sayed Aresh Beheshti-Shirazi, Ali Mirzaeian, Xiaojie Guo, Sai Manoj P. D., Houman Homayoun, Ioannis Savidis, Liang Zhao, Avesta Sasan:
RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis. ACM Great Lakes Symposium on VLSI 2022: 493-500 - [c162]Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan, Avesta Sasan, Houman Homayoun, Sai Manoj P. D.:
CAD-FSL: Code-Aware Data Generation based Few-Shot Learning for Efficient Malware Detection. ACM Great Lakes Symposium on VLSI 2022: 507-512 - [c161]Kevin Immanuel Gubbi, Sayed Aresh Beheshti-Shirazi, Tyler David Sheaves, Soheil Salehi, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
Survey of Machine Learning for Electronic Design Automation. ACM Great Lakes Symposium on VLSI 2022: 513-518 - [c160]Zhangying He, Hosein Mohammadi Makrani, Setareh Rafatirad, Houman Homayoun, Hossein Sayadi:
Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach. ICCD 2022: 231-238 - [c159]Sanket Shukla, Abhijitt Dhavlle, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Iron-Dome: Securing IoT Networked Systems at Runtime by Network and Device Characteristics to Confine Malware Epidemics. ICCD 2022: 259-262 - [c158]Ali Mirzaeian, Zhi Tian, Sai Manoj P. D., Banafsheh S. Latibari, Ioannis Savidis, Houman Homayoun, Avesta Sasan:
Adaptive-Gravity: A Defense Against Adversarial Samples. ISQED 2022: 96-101 - [c157]Chongzhou Fang, Han Wang, Najmeh Nazari, Behnam Omidi, Avesta Sasan, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun:
Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks. NDSS 2022 - [c156]Ryan Tsang, Doreen Joseph, Qiushi Wu, Soheil Salehi, Nadir Carreon, Prasant Mohapatra, Houman Homayoun:
FANDEMIC: Firmware Attack Construction and Deployment on Power Management Integrated Circuit and Impacts on IoT Applications. NDSS 2022 - [c155]Soheil Salehi, Tyler David Sheaves, Kevin Immanuel Gubbi, Sayed Arash Beheshti, Sai Manoj P. D., Setareh Rafatirad, Avesta Sasan, Tinoosh Mohsenin, Houman Homayoun:
Neuromorphic-Enabled Security for IoT. NEWCAS 2022: 153-157 - [i24]Ali Mirzaeian, Zhi Tian, Sai Manoj P. D., Banafsheh S. Latibari, Ioannis Savidis, Houman Homayoun, Avesta Sasan:
Adaptive-Gravity: A Defense Against Adversarial Samples. CoRR abs/2204.03694 (2022) - [i23]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Neural Network-based SAT-Resilient Obfuscation Towards Enhanced Logic Locking. CoRR abs/2209.05799 (2022) - 2021
- [j40]Kimia Zamiri Azar, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan:
From Cryptography to Logic Locking: A Survey on the Architecture Evolution of Secure Scan Chains. IEEE Access 9: 73133-73151 (2021) - [j39]Ashkan Vakil, Ali Mirzaeian, Houman Homayoun, Naghmeh Karimi, Avesta Sasan:
AVATAR: NN-Assisted Variation Aware Timing Analysis and Reporting for Hardware Trojan Detection. IEEE Access 9: 92881-92900 (2021) - [j38]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun:
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. 5(4): 28 (2021) - [j37]Tinoosh Mohsenin, Inna Partin-Vaisband, Houman Homayoun, Jae-Sun Seo, Xin Zhang:
Guest Editorial Cross-Layer Designs, Methodologies, and Systems to Enable Micro AI for On-Device Intelligence. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 527-531 (2021) - [j36]Han Wang, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Enabling Micro AI for Securing Edge Devices at Hardware Level. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 803-815 (2021) - [j35]Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao:
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4: 608286 (2021) - [j34]Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Deep graph transformation for attributed, directed, and signed networks. Knowl. Inf. Syst. 63(6): 1305-1337 (2021) - [j33]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun:
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 18:1-18:24 (2021) - [j32]Kimia Zamiri Azar, Hadi Mardani Kamali, Shervin Roshanisefat, Houman Homayoun, Christos P. Sotiriou, Avesta Sasan:
Data Flow Obfuscation: A New Paradigm for Obfuscating Circuits. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 643-656 (2021) - [j31]Morteza Hosseini, Nitheesh Kumar Manjunath, Bharat Prakash, Arnab Neelim Mazumder, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin:
Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1757-1770 (2021) - [c154]Sreenitha Kasarapu, Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Demography-aware COVID-19 Confinement with Game Theory. AICAS 2021: 1-4 - [c153]Han Wang, Soheil Salehi, Hossein Sayadi, Avesta Sasan, Tinoosh Mohsenin, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. AICAS 2021: 1-4 - [c152]Gaurav Kolhe, Soheil Salehi, Tyler David Sheaves, Houman Homayoun, Setareh Rafatirad, Sai Manoj P. D., Avesta Sasan:
Securing Hardware via Dynamic Obfuscation Utilizing Reconfigurable Interconnect and Logic Blocks. DAC 2021: 229-234 - [c151]Prathyush Poduval, Zhuowen Zou, M. Hassan Najafi, Houman Homayoun, Mohsen Imani:
StocHD: Stochastic Hyperdimensional System for Efficient and Robust Learning from Raw Data. DAC 2021: 1195-1200 - [c150]Rakibul Hassan, Gaurav Kolhe, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
A Cognitive SAT to SAT-Hard Clause Translation-based Logic Obfuscation. DATE 2021: 1172-1177 - [c149]Abhijitt Dhavlle, Sanket Shukla, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
HMD-Hardener: Adversarially Robust and Efficient Hardware-Assisted Runtime Malware Detection. DATE 2021: 1769-1774 - [c148]Sayed Aresh Beheshti-Shirazi, Ashkan Vakil, Sai Manoj P. D., Ioannis Savidis, Houman Homayoun, Avesta Sasan:
A Reinforced Learning Solution for Clock Skew Engineering to Reduce Peak Current and IR Drop. ACM Great Lakes Symposium on VLSI 2021: 181-187 - [c147]Neha Nagarkar, Khaled N. Khasawneh, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Energy-Efficient and Adversarially Robust Machine Learning with Selective Dynamic Band Filtering. ACM Great Lakes Symposium on VLSI 2021: 195-200 - [c146]Shervin Roshanisefat, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan:
RANE: An Open-Source Formal De-obfuscation Attack for Reverse Engineering of Logic Encrypted Circuits. ACM Great Lakes Symposium on VLSI 2021: 221-228 - [c145]Rakibul Hassan, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Performance-aware Malware Epidemic Confinement in Large-Scale IoT Networks. ICC 2021: 1-6 - [c144]Najmeh Nazari Bavarsad, Hosein Mohammadi Makrani, Hossein Sayadi, Lawrence Landis, Setareh Rafatirad, Houman Homayoun:
HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures. ICCD 2021: 509-516 - [c143]Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi:
Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. IOLTS 2021: 1-7 - [c142]Han Wang, Hossein Sayadi, Avesta Sasan, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. ISQED 2021: 79-84 - [c141]Zhangying He, Tahereh Miari, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Houman Homayoun, Hossein Sayadi:
When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection. ISQED 2021: 85-90 - [c140]Ali Mirzaeian, Jana Kosecka, Houman Homayoun, Tinoosh Mohsenin, Avesta Sasan:
Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks. ISQED 2021: 319-324 - [c139]Ali Mirzaeian, Sai Manoj P. D., Ashkan Vakil, Houman Homayoun, Avesta Sasan:
Conditional Classification: A Solution for Computational Energy Reduction. ISQED 2021: 325-330 - [c138]Hadi Mardani Kamali, Kimia Zamiri Azar, Houman Homayoun, Avesta Sasan:
ChaoLock: Yet Another SAT-hard Logic Locking using Chaos Computing. ISQED 2021: 387-394 - [c137]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Khaled N. Khasawneh, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud. SEED 2021: 1-13 - [c136]Charan Bandi, Soheil Salehi, Rakibul Hassan, Sai Manoj P. D., Houman Homayoun, Setareh Rafatirad:
Ontology-Driven Framework for Trend Analysis of Vulnerabilities and Impacts in IoT Hardware. ICSC 2021: 211-214 - [c135]Abhijitt Dhavlle, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao:
Power Swapper: Approximate Functional Block Assisted Cryptosystem Security. SoCC 2021: 101-105 - [c134]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Houman Homayoun:
Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems. SVCC 2021: 22-32 - [i22]Chongzhou Fang, Han Wang, Najmeh Nazari, Behnam Omidi, Avesta Sasan, Khaled N. Khasawneh, Setareh Rafatirad, Houman Homayoun:
Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks. CoRR abs/2110.00846 (2021) - 2020
- [j30]Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun:
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. IEEE Access 8: 138508-138528 (2020) - [j29]Katayoun Neshatpour, Houman Homayoun, Avesta Sasan:
ICNN: The Iterative Convolutional Neural Network. ACM Trans. Embed. Comput. Syst. 18(6): 119:1-119:27 (2020) - [j28]Shervin Roshanisefat, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan:
SAT-Hard Cyclic Logic Obfuscation for Protecting the IP in the Manufacturing Supply Chain. IEEE Trans. Very Large Scale Integr. Syst. 28(4): 954-967 (2020) - [c133]Ali Mirzaeian, Houman Homayoun, Avesta Sasan:
NESTA: Hamming Weight Compression-Based Neural Proc. EngineAli Mirzaeian. ASP-DAC 2020: 530-537 - [c132]Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao:
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE 2020: 358-363 - [c131]Han Wang, Hossein Sayadi, Tinoosh Mohsenin, Liang Zhao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. DATE 2020: 1414-1419 - [c130]Aidin Shiri, Arnab Neelim Mazumder, Bharat Prakash, Nitheesh Kumar Manjunath, Houman Homayoun, Avesta Sasan, Nicholas R. Waytowich, Tinoosh Mohsenin:
Energy-Efficient Hardware for Language Guided Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2020: 131-136 - [c129]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun:
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI 2020: 175-180 - [c128]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Houman Homayoun:
Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks. ACM Great Lakes Symposium on VLSI 2020: 181-186 - [c127]Hadi Mardani Kamali, Kimia Zamiri Azar, Houman Homayoun, Avesta Sasan:
On Designing Secure and Robust Scan Chain for Protecting Obfuscated Logic. ACM Great Lakes Symposium on VLSI 2020: 217-222 - [c126]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks. ICCAD 2020: 36:1-36:9 - [c125]Hadi Mardani Kamali, Kimia Zamiri Azar, Houman Homayoun, Avesta Sasan:
InterLock: An Intercorrelated Logic and Routing Locking. ICCAD 2020: 78:1-78:9 - [c124]Kimia Zamiri Azar, Hadi Mardani Kamali, Houman Homayoun, Avesta Sasan:
NNgSAT: Neural Network guided SAT Attack on Logic Locked Complex Structures. ICCAD 2020: 79:1-79:9 - [c123]Han Wang, Hossein Sayadi, Gaurav Kolhe, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks. ICCD 2020: 648-655 - [c122]