A Saddle-Point Dynamical System Approach for Robust Deep Learning. - Yasaman Esfandiari; Keivan Ebrahimi; Aditya Balu; Nicola Elia; Umesh Vaidya; Soumik Sarkar (CoRR, 2019)

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training. - Kai Liang Tan; Yasaman Esfandiari; Xian Yeow Lee; Aakanksha; Soumik Sarkar (ACC, 2020)

Query-based targeted action-space adversarial policies on deep reinforcement learning agents. - Xian Yeow Lee; Yasaman Esfandiari; Kai Liang Tan; Soumik Sarkar (ICCPS, 2021)

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. - Yasaman Esfandiari; Sin Yong Tan; Zhanhong Jiang; Aditya Balu; Ethan Herron; Chinmay Hegde; Soumik Sarkar (ICML, 2021)

A fast saddle-point dynamical system approach to robust deep learning. - Yasaman Esfandiari; Aditya Balu; Keivan Ebrahimi; Umesh Vaidya; Nicola Elia; Soumik Sarkar (Neural Networks, 2021)

Dominating Set Model Aggregation for communication-efficient decentralized deep learning. - Fateme Fotouhi; Aditya Balu; Zhanhong Jiang; Yasaman Esfandiari; Salman Jahani; Soumik Sarkar (Neural Networks, 2024)

Provably effective detection of effective data poisoning attacks. - Jonathan Gallagher; Yasaman Esfandiari; Callen MacPhee; Michael A. Warren (CoRR, 2025)