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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
702*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
2442018
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
862018
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
562017
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
502015
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
412021
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
412017
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
282014
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
27*2021
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
Bidding Strategies with Gender Nondiscrimination: Constraints for Online Ad Auctions
M Nasr, M Tschantz
ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*), 2020
202020
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising
M Nasr, R Shokri
arXiv preprint arXiv:2007.11524, 2020
182020
Membership Inference Attacks From First Principles
N Carlini, S Chien, M Nasr, S Song, A Terzis, F Tramer
arXiv preprint arXiv:2112.03570, 2021
132021
MassBrowser: Unblocking the Censored Web for the Masses, by the Masses
M Nasr, H Zolfaghar, A Houmansadr, A Ghafari
NDSS, 2020
92020
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
82021
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
X Tang, S Mahloujifar, L Song, V Shejwalkar, M Nasr, A Houmansadr, ...
arXiv preprint arXiv:2110.08324, 2021
72021
Enemy At the Gateways: A Game Theoretic Approach to Proxy Distribution
M Nasr, S Farhang, A Houmansadr, J Grossklags
NDSS, 2019
5*2019
Appendix to Bidding Strategies with Gender Nondiscrimination Constraints for Online Ad Auctions
M Nasr, MC Tschantz
Supplementary material for FAT 20, 2020
12020
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
2022
A Novel Self-Distillation Architecture to Defeat Membership Inference Attacks
X Tang, S Mahloujifar, L Song, V Shejwalkar, M Nasr, A Houmansadr, ...
NeurIPS 2021 Workshop Privacy in Machine Learning, 2021
2021
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Articles 1–20