Blocking-Resilient Communications in Information-Centric Networks Using Router Redirection. - Hamid Mozaffari; Amir Houmansadr; Arun Venkataramani (GLOBECOM Workshops, 2019)

Heterogeneous Private Information Retrieval. - Hamid Mozaffari; Amir Houmansadr (NDSS, 2020)

FSL: Federated Supermask Learning. - Hamid Mozaffari; Virat Shejwalkar; Amir Houmansadr (CoRR, 2021)

E2FL: Equal and Equitable Federated Learning. - Hamid Mozaffari; Amir Houmansadr (CoRR, 2022)

FedPerm: Private and Robust Federated Learning by Parameter Permutation. - Hamid Mozaffari; Virendra J. Marathe; Dave Dice (CoRR, 2022)

Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks. - Hamid Mozaffari; Virat Shejwalkar; Amir Houmansadr (USENIX Security Symposium, 2023)

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning. - Hamid Mozaffari; Sunav Choudhary; Amir Houmansadr (ESORICS (1), 2024)

Enhanced Private Decision Trees using Secure Multiparty Computation and Differential Privacy. - Arisa Tajima; Wei Jiang; Virendra J. Marathe; Hamid Mozaffari (ICKG, 2024)

Semantic Membership Inference Attack against Large Language Models. - Hamid Mozaffari; Virendra J. Marathe (CoRR, 2024)

Permissioned LLMs: Enforcing Access Control in Large Language Models. - Bargav Jayaraman; Virendra J. Marathe; Hamid Mozaffari; William F. Shen; Krishnaram Kenthapadi (CoRR, 2025)