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Milad Nasr
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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
990*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
3092018
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
1122018
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
802021
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
682022
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
612017
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
572015
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
432017
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
41*2021
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
302014
Bidding Strategies with Gender Nondiscrimination: Constraints for Online Ad Auctions
M Nasr, M Tschantz
ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*), 2020
242020
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising
M Nasr, R Shokri
arXiv preprint arXiv:2007.11524, 2020
222020
GAME OF DECOYS: Optimal Decoy Routing Through Game Theory
M Nasr, A Houmansadr
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications …, 2016
212016
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
162022
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
142021
MassBrowser: Unblocking the Censored Web for the Masses, by the Masses
M Nasr, H Zolfaghar, A Houmansadr, A Ghafari
NDSS, 2020
102020
Enemy At the Gateways: A Game Theoretic Approach to Proxy Distribution
M Nasr, S Farhang, A Houmansadr, J Grossklags
NDSS, 2019
6*2019
Machine Learning with Differentially Private Labels: Mechanisms and Frameworks
X Tang, M Nasr, S Mahloujifar, V Shejwalkar, L Song, A Houmansadr, ...
Proceedings on Privacy Enhancing Technologies 4, 332-350, 2022
32022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning
M Hejazinia, D Huba, I Leontiadis, K Maeng, M Malek, L Melis, I Mironov, ...
arXiv preprint arXiv:2206.03852, 2022
22022
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
12022
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