Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks M Nasr, R Shokri, A Houmansadr 2019 IEEE Symposium on Security and Privacy, 2019 | 1609* | 2019 |
Machine Learning with Membership Privacy using Adversarial Regularization M Nasr, R Shokri, A Houmansadr Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 454 | 2018 |
Membership inference attacks from first principles N Carlini, S Chien, M Nasr, S Song, A Terzis, F Tramer 2022 IEEE Symposium on Security and Privacy (SP), 1897-1914, 2022 | 389 | 2022 |
Universal and transferable adversarial attacks on aligned language models A Zou, Z Wang, N Carlini, M Nasr, JZ Kolter, M Fredrikson arXiv preprint arXiv:2307.15043, 2023 | 334 | 2023 |
Extracting training data from diffusion models N Carlini, J Hayes, M Nasr, M Jagielski, V Sehwag, F Tramer, B Balle, ... 32nd USENIX Security Symposium (USENIX Security 23), 5253-5270, 2023 | 285 | 2023 |
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning M Nasr, S Song, A Thakurta, N Papernot, N Carlini 2021 IEEE Symposium on Security and Privacy, 2021 | 177 | 2021 |
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning M Nasr, A Bahramali, A Houmansadr Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 173 | 2018 |
Are aligned neural networks adversarially aligned? N Carlini, M Nasr, CA Choquette-Choo, M Jagielski, I Gao, PWW Koh, ... Advances in Neural Information Processing Systems 36, 2024 | 101 | 2024 |
Defeating {DNN-Based} Traffic Analysis Systems in {Real-Time} With Blind Adversarial Perturbations M Nasr, A Bahramali, A Houmansadr 30th USENIX Security Symposium (USENIX Security 21), 2705-2722, 2021 | 94* | 2021 |
Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis M Nasr, A Houmansadr, A Mazumdar Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 77 | 2017 |
Scalable Extraction of Training Data from (Production) Language Models M Nasr, N Carlini, J Hayase, M Jagielski, AF Cooper, D Ippolito, ... arXiv preprint arXiv:2311.17035, 2023 | 66 | 2023 |
Daemo: A Self-Governed Crowdsourcing Marketplace SN Gaikwad, D Morina, R Nistala, M Agarwal, A Cossette, R Bhanu, ... Adjunct Proceedings of the 28th Annual ACM Symposium on User Interface …, 2015 | 63 | 2015 |
Mitigating Membership Inference Attacks by {Self-Distillation} Through a Novel Ensemble Architecture X Tang, S Mahloujifar, L Song, V Shejwalkar, M Nasr, A Houmansadr, ... 31st USENIX Security Symposium (USENIX Security 22), 1433-1450, 2022 | 59 | 2022 |
Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy D Ippolito, F Tramèr, M Nasr, C Zhang, M Jagielski, K Lee, ... arXiv preprint arXiv:2210.17546, 2022 | 50 | 2022 |
The Waterfall of Liberty: Decoy Routing Circumvention that Resists Routing Attacks M Nasr, H Zolfaghari, A Houmansadr Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017 | 50 | 2017 |
Robust adversarial attacks against DNN-based wireless communication systems A Bahramali, M Nasr, A Houmansadr, D Goeckel, D Towsley Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 44 | 2021 |
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising M Nasr, R Shokri TPDP 2020, 2020 | 42 | 2020 |
Bidding Strategies with Gender Nondiscrimination: Constraints for Online Ad Auctions M Nasr, M Tschantz ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*), 2020 | 37 | 2020 |
A dynamic bayesian security game framework for strategic defense mechanism design S Farhang, MH Manshaei, M Nasr, Q Zhu International Conference on Decision and Game Theory for Security, 319-328, 2014 | 37 | 2014 |
Tight auditing of differentially private machine learning M Nasr, J Hayes, T Steinke, B Balle, F Tramèr, M Jagielski, N Carlini, ... 32nd USENIX Security Symposium (USENIX Security 23), 1631-1648, 2023 | 31 | 2023 |