Houmansadr, Amir

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Nasr, M., Shokri, R., & Houmansadr, A. (2019) · 2019 IEEE Symposium on Security and Privacy (SP)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 1,760

Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning

Shejwalkar, V., & Houmansadr, A. (2021) · Proceedings 2021 Network and Distributed System Security Symposium

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 615

Machine Learning with Membership Privacy using Adversarial Regularization

Nasr, M., Shokri, R., & Houmansadr, A. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 458

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

Shejwalkar, V., Houmansadr, A., Kairouz, P., & Ramage, D. (2022) · 2022 IEEE Symposium on Security and Privacy (SP)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 292

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation

Naseh, A., Peng, Y., Suri, A., Chaudhari, H., Oprea, A., & Houmansadr, A. (2025) · Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 3

OverThink: Slowdown Attacks on Reasoning LLMs

Kumar, A., Roh, J., Naseh, A., Karpinska, M., Iyyer, M., Houmansadr, A., & Bagdasarian, E. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0