Chao, Patrick

8 publications

ICLR 2026 GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks Tejal Patwardhan, Rachel Dias, Elizabeth Proehl, Grace Kim, Michele Wang, Olivia Watkins, Simon Posada Fishman, Marwan Aljubeh, Phoebe Thacker, Laurance Fauconnet, Natalie S. Kim, Samuel Miserendino, Gildas Chabot, David Li, Patrick Chao, Michael Sharman, Alexandra Barr, Amelia Glaese, Jerry Tworek

ICLRW 2025 Watermarking Language Models with Error Correcting Codes Patrick Chao, Yan Sun, Edgar Dobriban, Hamed Hassani

NeurIPS 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

ICMLW 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

TMLR 2024 Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries Patrick Chao, Patrick Blöbaum, Sapan Kirit Patel, Shiva Kasiviswanathan

ICML 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, Alex Pentland, Arvind Narayanan, Percy Liang, Peter Henderson

ICMLW 2023 Black Box Adversarial Prompting for Foundation Models Natalie Maus, Patrick Chao, Eric Wong, Jacob R. Gardner

NeurIPSW 2023 Jailbreaking Black Box Large Language Models in Twenty Queries Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong