Patrick Chao

According to our database, Patrick Chao authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

Jailbreaking Black Box Large Language Models in Twenty Queries.

Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries.

Patrick Chao, Patrick Blöbaum, Sapan Kirit Patel, Shiva Prasad Kasiviswanathan

Trans. Mach. Learn. Res., 2024

Watermarking Language Models with Error Correcting Codes.

Patrick Chao, Edgar Dobriban, Hamed Hassani

CoRR, 2024

A Safe Harbor for AI Evaluation and Red Teaming.

Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson

CoRR, 2024

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models.

Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Position: A Safe Harbor for AI Evaluation and Red Teaming.

Shayne Longpre, Sayash Kapoor, Kevin Klyman, Ashwin Ramaswami, Rishi Bommasani, Borhane Blili-Hamelin, Yangsibo Huang, Aviya Skowron, Zheng Xin Yong, Suhas Kotha, Yi Zeng, Weiyan Shi, Xianjun Yang, Reid Southen, Alexander Robey, Patrick Chao, Diyi Yang, Ruoxi Jia, Daniel Kang, Sandy Pentland, Arvind Narayanan, Percy Liang, Peter Henderson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax Theory.

Patrick Chao, Edgar Dobriban

CoRR, 2023

Adversarial Prompting for Black Box Foundation Models.

Natalie Maus, Patrick Chao, Eric Wong, Jacob R. Gardner

CoRR, 2023

Interventional and Counterfactual Inference with Diffusion Models.

Patrick Chao, Patrick Blöbaum, Shiva Prasad Kasiviswanathan

CoRR, 2023

2018

Generative Models for Pose Transfer.

Patrick Chao, Alexander Li, Gokul Swamy

CoRR, 2018