Zheng, Zizhan

10 publications

NeurIPS 2025 Diffusion Guided Adversarial State Perturbations in Reinforcement Learning Xiaolin Sun, Feidi Liu, Zhengming Ding, Zizhan Zheng

ICLR 2024 Belief-Enriched Pessimistic Q-Learning Against Adversarial State Perturbations Xiaolin Sun, Zizhan Zheng

ICMLW 2023 A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan, Tao Li, Henger Li, Tianyi Xu, Quanyan Zhu, Zizhan Zheng

ICLRW 2023 Learning to Backdoor Federated Learning Henger Li, Chen Wu, Sencun Zhu, Zizhan Zheng

UAI 2023 Pandering in a (flexible) Representative Democracy Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng

NeurIPSW 2023 Robust Q-Learning Against State Perturbations: A Belief-Enriched Pessimistic Approach Xiaolin Sun, Zizhan Zheng

NeurIPS 2022 Learning to Attack Federated Learning: A Model-Based Reinforcement Learning Attack Framework Henger Li, Xiaolin Sun, Zizhan Zheng

NeurIPS 2020 Robust Sequence Submodular Maximization Gamal Sallam, Zizhan Zheng, Jie Wu, Bo Ji

UAI 2018 Analysis of Thompson Sampling for Graphical Bandits Without the Graphs Fang Liu, Zizhan Zheng, Ness B. Shroff

AAAI 2017 When to Reset Your Keys: Optimal Timing of Security Updates via Learning Zizhan Zheng, Ness B. Shroff, Prasant Mohapatra