Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. - Xiaojun Xu; Jacky Y. Zhang; Evelyn Ma; Hyun Ho Son; Sanmi Koyejo; Bo Li 026 (ICML, 2022)

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. - Xiaojun Xu; Jacky Yibo Zhang; Evelyn Ma; Danny Son; Oluwasanmi Koyejo; Bo Li 026 (CoRR, 2022)

Local Environment Poisoning Attacks on Federated Reinforcement Learning. - Evelyn Ma; Tiancheng Qin; S. Rasoul Etesami 001 (CoRR, 2023)

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning. - Evelyn Ma; Chao Pan 003; S. Rasoul Etesami 001; Han Zhao 002; Olgica Milenkovic (NeurIPS, 2024)

Reward Poisoning on Federated Reinforcement Learning. - Evelyn Ma; S. Rasoul Etesami 001; Praneet Rathi (Trans. Mach. Learn. Res., 2024)

GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models. - Evelyn Ma; Duo Zhou; Peizhi Niu; Huiting Zhou; Huan Zhang 001; Olgica Milenkovic; S. Rasoul Etesami 001 (CoRR, 2025)