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About Me

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Hi, I'm a Ph.D. Candidate in the computer science department of Tulane University, advised by Prof. Zizhan Zheng.

My research interests include:

Cybersecurity, Game Theory, and Reinforcement Learning

Welcome to my webpage!

Publications

Henger Li, Xiaolin Sun, and Zizhan Zheng, “Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework,” Conference on Neural Information Processing Systems (NeurIPS), Dec. 2022 (Acceptance Rate = 25.6%, selected for scholar award) [paper][code]

Henger Li and Zizhan Zheng, “Robust Moving Target Defense against Unknown Attacks: A Meta-Reinforcement Learning Approach,” Conference on Decision and Game Theory for Security (GameSec), Oct. 2022. [paper][code]

Henger Li, Wen Shen, and Zizhan Zheng, “Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model,” International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), May 2020 (long paper).(Acceptance Rate = 23%) [paper][code]

Wen Shen, Henger Li, and Zizhan Zheng, “Coordinated Attacks Against Federated Learning: A Multi-Agent Reinforcement Learning Approach,” ICLR 2021 Workshop on Security and Safety in Machine Learning Systems (SecML), May 2021 (selected for travel award). [paper]

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Wen Shen, Henger Li, and Zizhan Zheng, “Learning to Attack Distributionally Robust Federated Learning,” NeurIPS-20 Workshop on Scalability, Privacy, and Security in Federated Learning (NeurIPS-SpicyFL), Dec. 2020 (selected for oral presentation). [paper]

Henger Li and Zizhan Zheng, “Optimal Timing of Moving Target Defense: A Stackelberg Game Model,” Military Communications Conference (MILCOM), Nov. 2019. [paper]

Presentations&Talks

Tulane Computer Science Department. Oral qualifying presentation: Adaptive Attack and Proactive Defense in Cybersecurity, Virtual 2021. [slide]

AAMAS 2020. Oral presentation: Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model, Virtual 2020. [slide]

Tulane Computer Science Department. Interdisciplinary project presentation: Learning to pool: Adaptive Group Testing for COVID-19, New Orleans, LA 2020.

MILCOM 2019. Oral presentation: Optimal Timing of Moving Target Defense: A Stackelberg Game Model, Norfolk, VA, 2019. [slide]

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Education

Ph.D. Candidate in Computer Science (Jun 2021 - present)
Department of Computer Science
Tulane University, New Orleans, USA

Ph.D. Student in Computer Science (Mar 2018 - Jun 2021)
Department of Computer Science
Tulane University, New Orleans, USA

M.S. degree in Computer Science (Sep 2015 - Dec 2016)
Department of Computer Science
University of Liverpool, Liverpool, UK

B.S. degree in Applied Mathematics (Sep 2011 - Jun 2015)
Department of Applied Mathematics
Xi’an Jiaotong-Liverpool University, SuZhou, China & Liverpool, UK

Experience

Researching Assistant (Sep 2018 - present)

Supervisor: Prof. Zizhan Zheng

Tulane University, New Orleans, USA

Research Topic: Cybersecurity, Game Theory, and Reinforcement Learning

Teaching Assistant (Sep 2021 - May 2022)

Supervisor: Prof. Aaron Maus