Reza Ebrahimi

20 papers A* 2A 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models.
SP (Workshops)
Kasra Ahmadi, Rouzbeh Behnia, Reza Ebrahimi, Mehran Mozaffari Kermani, Jeremiah Birrell, Jason Pacheco, Attila A. Yavuz
2025 J jnl
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models.
CoRR
Kasra Ahmadi, Rouzbeh Behnia, Reza Ebrahimi, Mehran Mozaffari Kermani, Jeremiah Birrell, Jason Pacheco, Attila A. Yavuz
2025 J jnl
Defending Deep Learning-Based Raw Malware Detectors Against Adversarial Attacks: A Sequence Modeling Approach.
J. Manag. Inf. Syst.
Reza Ebrahimi, James Lee Hu, Ning Zhang, Jay F. Nunamaker Jr., Hsinchun Chen
2025 J jnl
Efficient Full-Stack Private Federated Deep Learning With Post-Quantum Security.
IEEE Trans. Dependable Secur. Comput.
Yiwei Zhang, Rouzbeh Behnia, Attila Altay Yavuz, Reza Ebrahimi, Elisa Bertino
2025 J jnl
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security.
CoRR
Yiwei Zhang, Rouzbeh Behnia, Attila A. Yavuz, Reza Ebrahimi, Elisa Bertino
2025 J jnl
Learning Contextualized Action Representations in Sequential Decision Making for Adversarial Malware Optimization.
IEEE Trans. Dependable Secur. Comput.
Reza Ebrahimi, Jason Pacheco, James Hu, Hsinchun Chen
2025 J jnl
Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy.
CoRR
Rouzbeh Behnia, Jeremiah Birrell, Arman Riasi, Reza Ebrahimi, Kaushik Dutta, Thang Hoang
2025 J jnl
Optimal Transport Regularized Divergences: Application to Adversarial Robustness.
SIAM J. Math. Data Sci.
Jeremiah Birrell, Reza Ebrahimi
2025 J jnl
RADAR: A Framework for Developing Adversarially Robust Cyber Defense AI Agents with Deep Reinforcement Learning.
MIS Q.
Reza Ebrahimi, Yidong Chai, Weifeng Li, Jason Pacheco, Hsinchun Chen
2025 — conf
RAG Security and Privacy: Formalizing the Threat Model and Attack Surface.
ICDM (Workshops)
Atousa Arzanipour, Rouzbeh Behnia, Reza Ebrahimi, Kaushik Dutta
2025 J jnl
RAG Security and Privacy: Formalizing the Threat Model and Attack Surface.
CoRR
Atousa Arzanipour, Rouzbeh Behnia, Reza Ebrahimi, Kaushik Dutta
2025 A* conf
Risk-Sensitive Variational Actor-Critic: A Model-Based Approach.
ICLR
Alonso Granados Baca, Reza Ebrahimi, Jason Pacheco
2024 A* conf
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement.
NeurIPS
Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco
2024 J jnl
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement.
CoRR
Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco
2024 A conf
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning.
ACSAC
Rouzbeh Behnia, Arman Riasi, Reza Ebrahimi, Sherman S. M. Chow, Balaji Padmanabhan, Thang Hoang
2024 J jnl
From Machine Learning to Machine Unlearning: Complying with GDPR's Right to be Forgotten while Maintaining Business Value of Predictive Models.
CoRR
Yuncong Yang, Xiao Han, Yidong Chai, Reza Ebrahimi, Rouzbeh Behnia, Balaji Padmanabhan
2024 — conf
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning.
ICDM (Workshops)
Yiwei Zhang, Rouzbeh Behnia, Attila A. Yavuz, Reza Ebrahimi, Elisa Bertino
2024 J jnl
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning.
CoRR
Yiwei Zhang, Rouzbeh Behnia, Attila A. Yavuz, Reza Ebrahimi, Elisa Bertino
2023 J jnl
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences.
CoRR
Jeremiah Birrell, Reza Ebrahimi
2023 J jnl
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning.
CoRR
Rouzbeh Behnia, Reza Ebrahimi, Arman Riasi, Balaji Padmanabhan, Thang Hoang