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2020 – today
- 2022
[j29]Liang Wang, Prateek Mittal, Jennifer Rexford:
Data-plane security applications in adversarial settings. Comput. Commun. Rev. 52(2): 2-9 (2022)- [j28]David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal:
Athena: Probabilistic Verification of Machine Unlearning. Proc. Priv. Enhancing Technol. 2022(3): 268-290 (2022) - [j27]Mona Wang, Anunay Kulshrestha, Liang Wang, Prateek Mittal:
Leveraging strategic connection migration-powered traffic splitting for privacy. Proc. Priv. Enhancing Technol. 2022(3): 498-515 (2022) - [c84]Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal:
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. AISTATS 2022: 7587-7624 - [c83]Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal:
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR 2022 - [c82]Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez:
Neurotoxin: Durable Backdoors in Federated Learning. ICML 2022: 26429-26446 - [c81]Sihui Dai, Saeed Mahloujifar, Prateek Mittal:
Parameterizing Activation Functions for Adversarial Robustness. SP Workshops 2022: 80-87 - [i88]Chong Xiang, Alexander Valtchanov, Saeed Mahloujifar, Prateek Mittal:
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking. CoRR abs/2202.01811 (2022) - [i87]Ryan Amos, Roland Maio, Prateek Mittal:
Reviews in motion: a large scale, longitudinal study of review recommendations on Yelp. CoRR abs/2202.09005 (2022) - [i86]Jordan Holland, Paul Schmitt, Prateek Mittal, Nick Feamster:
Towards Reproducible Network Traffic Analysis. CoRR abs/2203.12410 (2022) - [i85]Sihui Dai, Saeed Mahloujifar, Prateek Mittal:
Formulating Robustness Against Unforeseen Attacks. CoRR abs/2204.13779 (2022) - [i84]Mona Wang, Anunay Kulshrestha, Liang Wang, Prateek Mittal:
Leveraging strategic connection migration-powered traffic splitting for privacy. CoRR abs/2205.03326 (2022) - [i83]Xiangyu Qi, Tinghao Xie, Saeed Mahloujifar, Prateek Mittal:
Circumventing Backdoor Defenses That Are Based on Latent Separability. CoRR abs/2205.13613 (2022) - [i82]Xiangyu Qi, Tinghao Xie, Saeed Mahloujifar, Prateek Mittal:
Fight Poison with Poison: Detecting Backdoor Poison Samples via Decoupling Benign Correlations. CoRR abs/2205.13616 (2022) - [i81]Henry Birge-Lee, Joel Wanner, Grace Cimaszewski, Jonghoon Kwon, Liang Wang, François Wirz, Prateek Mittal, Adrian Perrig, Yixin Sun:
Creating a Secure Underlay for the Internet. CoRR abs/2206.06879 (2022) - [i80]Christian Cianfarani, Arjun Nitin Bhagoji, Vikash Sehwag, Ben Y. Zhao, Prateek Mittal:
Understanding Robust Learning through the Lens of Representation Similarities. CoRR abs/2206.09868 (2022) - [i79]Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Joseph E. Gonzalez, Kannan Ramchandran, Prateek Mittal:
Neurotoxin: Durable Backdoors in Federated Learning. CoRR abs/2206.10341 (2022) - [i78]Tong Wu, Tianhao Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal:
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation. CoRR abs/2207.10825 (2022) - 2021
- [j26]Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal:
DP-cryptography: marrying differential privacy and cryptography in emerging applications. Commun. ACM 64(2): 84-93 (2021) - [j25]Yixin Sun, Maria Apostolaki, Henry Birge-Lee, Laurent Vanbever, Jennifer Rexford, Mung Chiang, Prateek Mittal:
Securing internet applications from routing attacks. Commun. ACM 64(6): 86-96 (2021) - [j24]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) - [j23]Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin:
Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning. Proc. Priv. Enhancing Technol. 2021(1): 188-208 (2021) - [j22]Jean-Pierre Smith, Prateek Mittal, Adrian Perrig:
Website Fingerprinting in the Age of QUIC. Proc. Priv. Enhancing Technol. 2021(2): 48-69 (2021) - [j21]Anatoly Shusterman, Zohar Avraham, Eliezer Croitoru, Yarden Haskal, Lachlan Kang, Dvir Levi, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom:
Website Fingerprinting Through the Cache Occupancy Channel and its Real World Practicality. IEEE Trans. Dependable Secur. Comput. 18(5): 2042-2060 (2021) - [c80]Chong Xiang, Prateek Mittal:
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CCS 2021: 3177-3196 - [c79]Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal:
New Directions in Automated Traffic Analysis. CCS 2021: 3366-3383 - [c78]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. ICDE 2021: 193-204 - [c77]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. ICDE 2021: 2705-2708 - [c76]Vikash Sehwag, Mung Chiang, Prateek Mittal:
SSD: A Unified Framework for Self-Supervised Outlier Detection. ICLR 2021 - [c75]Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal:
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. ICML 2021: 863-873 - [c74]Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein:
RobustBench: a standardized adversarial robustness benchmark. NeurIPS Datasets and Benchmarks 2021 - [c73]Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal:
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking. USENIX Security Symposium 2021: 2237-2254 - [c72]Liwei Song, Prateek Mittal:
Systematic Evaluation of Privacy Risks of Machine Learning Models. USENIX Security Symposium 2021: 2615-2632 - [c71]Henry Birge-Lee, Liang Wang, Daniel McCarney, Roland Shoemaker, Jennifer Rexford, Prateek Mittal:
Experiences Deploying Multi-Vantage-Point Domain Validation at Let's Encrypt. USENIX Security Symposium 2021: 4311-4327 - [i77]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Haoyuan Liu, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence. CoRR abs/2101.06761 (2021) - [i76]Chong Xiang, Prateek Mittal:
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks. CoRR abs/2102.02956 (2021) - [i75]Vikash Sehwag, Mung Chiang, Prateek Mittal:
SSD: A Unified Framework for Self-Supervised Outlier Detection. CoRR abs/2103.12051 (2021) - [i74]Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal:
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries. CoRR abs/2104.08382 (2021) - [i73]Vikash Sehwag, Saeed Mahloujifar, Tinashe Handina, Sihui Dai, Chong Xiang, Mung Chiang, Prateek Mittal:
Improving Adversarial Robustness Using Proxy Distributions. CoRR abs/2104.09425 (2021) - [i72]Chong Xiang, Prateek Mittal:
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches. CoRR abs/2104.12609 (2021) - [i71]Laurent Chuat, Cyrill Krähenbühl, Prateek Mittal, Adrian Perrig:
F-PKI: Enabling Innovation and Trust Flexibility in the HTTPS Public-Key Infrastructure. CoRR abs/2108.08581 (2021) - [i70]Chong Xiang, Saeed Mahloujifar, Prateek Mittal:
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier. CoRR abs/2108.09135 (2021) - [i69]Sihui Dai, Saeed Mahloujifar, Prateek Mittal:
Parameterizing Activation Functions for Adversarial Robustness. CoRR abs/2110.05626 (2021) - [i68]Xinyu Tang, Saeed Mahloujifar, Liwei Song, Virat Shejwalkar, Milad Nasr, Amir Houmansadr, Prateek Mittal:
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture. CoRR abs/2110.08324 (2021) - [i67]Liang Wang, Prateek Mittal, Jennifer Rexford:
Data-Plane Security Applications in Adversarial Settings. CoRR abs/2111.02268 (2021) - [i66]Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal:
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. CoRR abs/2112.06274 (2021) - 2020
- [j20]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1: 155-172 (2020) - [j19]Saleh Soltan, Prateek Mittal, H. Vincent Poor:
Protecting the Grid Against MAD Attacks. IEEE Trans. Netw. Sci. Eng. 7(3): 1310-1326 (2020) - [c70]Florentin Rochet, Ryan Wails, Aaron Johnson, Prateek Mittal, Olivier Pereira:
CLAPS: Client-Location-Aware Path Selection in Tor. CCS 2020: 17-34 - [c69]Yixin Sun, Kangkook Jee, Suphannee Sivakorn, Zhichun Li, Cristian Lumezanu, Lauri Korts-Pärn, Zhenyu Wu, Junghwan Rhee, Chung Hwan Kim, Mung Chiang, Prateek Mittal:
Detecting Malware Injection with Program-DNS Behavior. EuroS&P 2020: 552-568 - [c68]Peng Gao, Xusheng Xiao, Ding Li, Kangkook Jee, Haifeng Chen, Sanjeev R. Kulkarni, Prateek Mittal:
Querying Streaming System Monitoring Data for Enterprise System Anomaly Detection. ICDE 2020: 1774-1777 - [c67]Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana:
HYDRA: Pruning Adversarially Robust Neural Networks. NeurIPS 2020 - [c66]Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor:
Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. SIGMETRICS (Abstracts) 2020: 99-100 - [i65]Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana:
On Pruning Adversarially Robust Neural Networks. CoRR abs/2002.10509 (2020) - [i64]David Marco Sommer, Liwei Song, Sameer Wagh, Prateek Mittal:
Towards Probabilistic Verification of Machine Unlearning. CoRR abs/2003.04247 (2020) - [i63]Liwei Song, Prateek Mittal:
Systematic Evaluation of Privacy Risks of Machine Learning Models. CoRR abs/2003.10595 (2020) - [i62]Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin:
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning. CoRR abs/2004.02229 (2020) - [i61]Sameer Wagh, Xi He, Ashwin Machanavajjhala, Prateek Mittal:
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications. CoRR abs/2004.08887 (2020) - [i60]Yixin Sun, Maria Apostolaki, Henry Birge-Lee, Laurent Vanbever, Jennifer Rexford, Mung Chiang, Prateek Mittal:
Securing Internet Applications from Routing Attacks. CoRR abs/2004.09063 (2020) - [i59]Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal:
PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields. CoRR abs/2005.10884 (2020) - [i58]Liang Wang, Hyojoon Kim, Prateek Mittal, Jennifer Rexford:
Programmable In-Network Obfuscation of Traffic. CoRR abs/2006.00097 (2020) - [i57]Vikash Sehwag, Rajvardhan Oak, Mung Chiang, Prateek Mittal:
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks. CoRR abs/2006.14077 (2020) - [i56]Liwei Song, Vikash Sehwag, Arjun Nitin Bhagoji, Prateek Mittal:
A Critical Evaluation of Open-World Machine Learning. CoRR abs/2007.04391 (2020) - [i55]Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal:
nPrint: A Standard Data Representation for Network Traffic Analysis. CoRR abs/2008.02695 (2020) - [i54]Kyle MacMillan, Jordan Holland, Prateek Mittal:
Evaluating Snowflake as an Indistinguishable Censorship Circumvention Tool. CoRR abs/2008.03254 (2020) - [i53]Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein:
RobustBench: a standardized adversarial robustness benchmark. CoRR abs/2010.09670 (2020) - [i52]Peng Gao, Fei Shao, Xiaoyuan Liu, Xusheng Xiao, Zheng Qin, Fengyuan Xu, Prateek Mittal, Sanjeev R. Kulkarni, Dawn Song:
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence. CoRR abs/2010.13637 (2020)
2010 – 2019
- 2019
- [j18]Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor:
Partial Recovery of Erdðs-Rényi Graph Alignment via k-Core Alignment. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 54:1-54:21 (2019) - [j17]Thee Chanyaswad, Changchang Liu, Prateek Mittal:
RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release. Proc. Priv. Enhancing Technol. 2019(1): 26-46 (2019) - [j16]Hans Hanley, Yixin Sun, Sameer Wagh, Prateek Mittal:
DPSelect: A Differential Privacy Based Guard Relay Selection Algorithm for Tor. Proc. Priv. Enhancing Technol. 2019(2): 166-186 (2019) - [j15]Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal:
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. 2019(3): 233-254 (2019) - [j14]Gerry Wan, Aaron Johnson, Ryan Wails, Sameer Wagh, Prateek Mittal:
Guard Placement Attacks on Path Selection Algorithms for Tor. Proc. Priv. Enhancing Technol. 2019(4): 272-291 (2019) - [j13]Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security. Proc. VLDB Endow. 12(12): 1802-1805 (2019) - [j12]Shouling Ji, Ting Wang, Jianhai Chen, Weiqing Li, Prateek Mittal, Raheem Beyah:
De-SAG: On the De-Anonymization of Structure-Attribute Graph Data. IEEE Trans. Dependable Secur. Comput. 16(4): 594-607 (2019) - [c65]Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal:
Analyzing the Robustness of Open-World Machine Learning. AISec@CCS 2019: 105-116 - [c64]Hooman Mohajeri Moghaddam, Gunes Acar, Ben Burgess, Arunesh Mathur, Danny Yuxing Huang, Nick Feamster, Edward W. Felten, Prateek Mittal, Arvind Narayanan:
Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices. CCS 2019: 131-147 - [c63]Liwei Song, Reza Shokri, Prateek Mittal:
Privacy Risks of Securing Machine Learning Models against Adversarial Examples. CCS 2019: 241-257 - [c62]Henry Birge-Lee, Liang Wang, Jennifer Rexford, Prateek Mittal:
SICO: Surgical Interception Attacks by Manipulating BGP Communities. CCS 2019: 431-448 - [c61]Prateek Mittal, Kishalay Mitra:
Variable Grid Resolution based Evolutionary Multi-objective optimization towards Micro-siting. CEC 2019: 2787-2793 - [c60]Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo:
Analyzing Federated Learning through an Adversarial Lens. ICML 2019: 634-643 - [c59]Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal:
Lower Bounds on Adversarial Robustness from Optimal Transport. NeurIPS 2019: 7496-7508 - [c58]Liwei Song, Reza Shokri, Prateek Mittal:
Membership Inference Attacks Against Adversarially Robust Deep Learning Models. IEEE Symposium on Security and Privacy Workshops 2019: 50-56 - [c57]Anatoly Shusterman, Lachlan Kang, Yarden Haskal, Yosef Meltser, Prateek Mittal, Yossi Oren, Yuval Yarom:
Robust Website Fingerprinting Through the Cache Occupancy Channel. USENIX Security Symposium 2019: 639-656 - [c56]Yan Shvartzshnaider, Zvonimir Pavlinovic, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian, Helen Nissenbaum, Prateek Mittal:
VACCINE: Using Contextual Integrity For Data Leakage Detection. WWW 2019: 1702-1712 - [p1]Prateek Mittal, Affan Malik, Itishree Mohanty, Kishalay Mitra:
Comparative Study of Multi/Many-Objective Evolutionary Algorithms on Hot Rolling Application. Optimization in Industry 2019: 331-349 - [i51]Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
A Stream-based Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security. CoRR abs/1903.08159 (2019) - [i50]Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal:
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples. CoRR abs/1905.01726 (2019) - [i49]Liwei Song, Reza Shokri, Prateek Mittal:
Privacy Risks of Securing Machine Learning Models against Adversarial Examples. CoRR abs/1905.10291 (2019) - [i48]Vikash Sehwag, Shiqi Wang, Prateek Mittal, Suman Jana:
Towards Compact and Robust Deep Neural Networks. CoRR abs/1906.06110 (2019) - [i47]Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal:
Lower Bounds on Adversarial Robustness from Optimal Transport. CoRR abs/1909.12272 (2019) - [i46]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) - [i45]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR abs/1912.11598 (2019) - 2018
- [j11]Arsalan Mosenia, Jad F. Bechara, Tao Zhang, Prateek Mittal, Mung Chiang:
ProCMotive: Bringing Programmability and Connectivity into Isolated Vehicles. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 26:1-26:31 (2018) - [j10]Michael Freyberger, Warren He, Devdatta Akhawe, Michelle L. Mazurek, Prateek Mittal:
Cracking ShadowCrypt: Exploring the Limitations of Secure I/O Systems in Internet Browsers. Proc. Priv. Enhancing Technol. 2018(2): 47-63 (2018) - [j9]Ryan Wails, Yixin Sun, Aaron Johnson, Mung Chiang, Prateek Mittal:
Tempest: Temporal Dynamics in Anonymity Systems. Proc. Priv. Enhancing Technol. 2018(3): 22-42 (2018) - [j8]Sameer Wagh, Paul Cuff, Prateek Mittal:
Differentially Private Oblivious RAM. Proc. Priv. Enhancing Technol. 2018(4): 64-84 (2018) - [j7]Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha:
PinMe: Tracking a Smartphone User around the World. IEEE Trans. Multi Scale Comput. Syst. 4(3): 420-435 (2018) - [c55]Tsung-Yen Yang, Christopher G. Brinton, Prateek Mittal, Mung Chiang, Andrew S. Lan:
Learning Informative and Private Representations via Generative Adversarial Networks. IEEE BigData 2018: 1534-1543 - [c54]Mohammad Shahrad, Arsalan Mosenia, Liwei Song, Mung Chiang, David Wentzlaff, Prateek Mittal:
Acoustic Denial of Service Attacks on Hard Disk Drives. ASHES@CCS 2018: 34-39 - [c53]Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal:
MVG Mechanism: Differential Privacy under Matrix-Valued Query. CCS 2018: 230-246 - [c52]Vikash Sehwag, Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal:
Not All Pixels are Born Equal: An Analysis of Evasion Attacks under Locality Constraints. CCS 2018: 2285-2287 - [c51]Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin, Prateek Mittal:
Enhancing robustness of machine learning systems via data transformations. CISS 2018: 1-5 - [c50]Alexander N. Tait, Thomas Ferreira de Lima, Philip Y. Ma, Matthew P. Chang, Mitchell A. Nahmias, Bhavin J. Shastri, Prateek Mittal, Paul R. Prucnal:
Blind source separation in the physical layer. CISS 2018: 1-6 - [c49]Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal:
SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CNS 2018: 1-9 - [c48]Daniel Cullina, Prateek Mittal, Negar Kiyavash:
Fundamental Limits of Database Alignment. ISIT 2018: 651-655 - [c47]Yushan Liu, Mu Zhang, Ding Li, Kangkook Jee, Zhichun Li, Zhenyu Wu, Junghwan Rhee, Prateek Mittal:
Towards a Timely Causality Analysis for Enterprise Security. NDSS 2018 - [c46]Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal:
PAC-learning in the presence of adversaries. NeurIPS 2018: 228-239 - [c45]Surin Ahn, Maria Gorlatova, Parinaz Naghizadeh, Mung Chiang, Prateek Mittal:
Adaptive Fog-Based Output Security for Augmented Reality. VR/AR Network@SIGCOMM 2018: 1-6 - [c44]Peng Gao, Xusheng Xiao, Zhichun Li, Fengyuan Xu, Sanjeev R. Kulkarni, Prateek Mittal:
AIQL: Enabling Efficient Attack Investigation from System Monitoring Data. USENIX Annual Technical Conference 2018: 113-126 - [c43]Austin Hounsel, Prateek Mittal, Nick Feamster:
Automatically Generating a Large, Culture-Specific Blocklist for China. FOCI @ USENIX Security Symposium 2018 - [c42]Saleh Soltan, Prateek Mittal, H. Vincent Poor:
BlackIoT: IoT Botnet of High Wattage Devices Can Disrupt the Power Grid. USENIX Security Symposium 2018: 15-32 - [c41]Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, Prateek Mittal:
SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. USENIX Security Symposium 2018: 639-656 - [c40]Henry Birge-Lee, Yixin Sun, Anne Edmundson, Jennifer Rexford, Prateek Mittal:
Bamboozling Certificate Authorities with BGP. USENIX Security Symposium 2018: 833-849 - [i44]Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal:
MVG Mechanism: Differential Privacy under Matrix-Valued Query. CoRR abs/1801.00823 (2018) - [i43]Ryan Wails, Yixin Sun, Aaron Johnson, Mung Chiang, Prateek Mittal:
Tempest: Temporal Dynamics in Anonymity Systems. CoRR abs/1801.01932 (2018) - [i42]Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Prateek Mittal, Mung Chiang:
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos. CoRR abs/1801.02780 (2018) - [i41]Wei-Han Lee, Changchang Liu, Shouling Ji, Prateek Mittal, Ruby B. Lee:
Blind De-anonymization Attacks using Social Networks. CoRR abs/1801.05534 (2018) - [i40]Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj K. Jha:
PinMe: Tracking a Smartphone User around the World. CoRR abs/1802.01468 (2018) - [i39]Chawin Sitawarin, Arjun Nitin Bhagoji, Arsalan Mosenia, Mung Chiang, Prateek Mittal:
DARTS: Deceiving Autonomous Cars with Toxic Signs. CoRR abs/1802.06430 (2018) - [i38]Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal:
A Differential Privacy Mechanism Design Under Matrix-Valued Query. CoRR abs/1802.10077 (2018) - [i37]Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, Prateek Mittal:
SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. CoRR abs/1803.06772 (2018)