Optimal Timing of Moving Target Defense: A Stackelberg Game Model. - Henger Li; Zizhan Zheng (MILCOM, 2019)

Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model. - Henger Li; Wen Shen 001; Zizhan Zheng (AAMAS, 2020)

Robust Moving Target Defense Against Unknown Attacks: A Meta-reinforcement Learning Approach. - Henger Li; Zizhan Zheng (GameSec, 2022)

Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework. - Henger Li; Xiaolin Sun; Zizhan Zheng (NeurIPS, 2022)

Learning to Backdoor Federated Learning. - Henger Li; Chen Wu; Sencun Zhu; Zizhan Zheng (CoRR, 2023)

A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report). - Henger Li; Tianyi Xu; Tao Li; Yunian Pan; Quanyan Zhu; Zizhan Zheng (CoRR, 2023)

A First Order Meta Stackelberg Method for Robust Federated Learning. - Yunian Pan; Tao Li; Henger Li; Tianyi Xu; Zizhan Zheng; Quanyan Zhu (CoRR, 2023)