Patrick Chao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Discriminative Methods

Diffusion Model

Error Correcting Codes

Top Venues

Publications

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
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. CoRR (2024)
Patrick Chao, Edgar Dobriban, Hamed Hassani
Watermarking Language Models with Error Correcting Codes. CoRR (2024)
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
A Safe Harbor for AI Evaluation and Red Teaming. CoRR (2024)
Natalie Maus, Patrick Chao, Eric Wong, Jacob R. Gardner
Adversarial Prompting for Black Box Foundation Models. CoRR (2023)
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong
Jailbreaking Black Box Large Language Models in Twenty Queries. CoRR (2023)
Patrick Chao, Edgar Dobriban
Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax Theory. CoRR (2023)
Patrick Chao, Patrick Blöbaum, Shiva Prasad Kasiviswanathan
Interventional and Counterfactual Inference with Diffusion Models. CoRR (2023)
Patrick Chao, Alexander Li, Gokul Swamy
Generative Models for Pose Transfer. CoRR (2018)