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 002; 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 046; Yunian Pan; Quanyan Zhu; Zizhan Zheng (CoRR, 2023)

A First Order Meta Stackelberg Method for Robust Federated Learning. - Yunian Pan; Tao Li 046; Henger Li; Tianyi Xu; Zizhan Zheng; Quanyan Zhu (CoRR, 2023)

Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks. - Tao Li 046; Henger Li; Yunian Pan; Tianyi Xu; Zizhan Zheng; Quanyan Zhu (CoRR, 2024)

Online Learning with Probing for Sequential User-Centric Selection. - Tianyi Xu; Yiting Chen 008; Henger Li; Zheyong Bian; Emiliano Dall'Anese; Zizhan Zheng (CoRR, 2025)