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Patrick Chao

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A Safe Harbor for AI Evaluation and Red Teaming

Mar 07, 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

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Jailbreaking Black Box Large Language Models in Twenty Queries

Oct 13, 2023
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J. Pappas, Eric Wong

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Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax Theory

Aug 03, 2023
Patrick Chao, Edgar Dobriban

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Adversarial Prompting for Black Box Foundation Models

Feb 08, 2023
Natalie Maus, Patrick Chao, Eric Wong, Jacob Gardner

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Interventional and Counterfactual Inference with Diffusion Models

Feb 02, 2023
Patrick Chao, Patrick Blöbaum, Shiva Prasad Kasiviswanathan

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AdaPT-GMM: Powerful and robust covariate-assisted multiple testing

Jun 30, 2021
Patrick Chao, William Fithian

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Generative Models for Pose Transfer

Jun 24, 2018
Patrick Chao, Alexander Li, Gokul Swamy

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The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization

Oct 13, 2017
Patrick Chao, Tahereh Mazaheri, Bo Sun, Nicholas B. Weingartner, Zohar Nussinov

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