Junlin Wu

According to our database, Junlin Wu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Verified Safe Reinforcement Learning for Neural Network Dynamic Models.

Junlin Wu, Huan Zhang, Yevgeniy Vorobeychik

CoRR, 2024

Axioms for AI Alignment from Human Feedback.

Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu

CoRR, 2024

Preference Poisoning Attacks on Reward Model Learning.

Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik

CoRR, 2024

Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks.

Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik

Proceedings of the IEEE Security and Privacy, 2024

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models.

Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models.

Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao

CoRR, 2023

Exact Verification of ReLU Neural Control Barrier Functions.

Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Lyapunov Control for Discrete-Time Systems.

Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Manipulating Elections by Changing Voter Perceptions.

Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum.

Junlin Wu, Yevgeniy Vorobeychik

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning Generative Deception Strategies in Combinatorial Masking Games.

Junlin Wu, Charles A. Kamhoua, Murat Kantarcioglu, Yevgeniy Vorobeychik

Proceedings of the Decision and Game Theory for Security - 12th International Conference, 2021