Mu, Norman

8 publications

NeurIPS 2025 Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs Mantas Mazeika, Xuwang Yin, Rishub Tamirisa, Jaehyuk Lim, Bruce W. Lee, Richard Ren, Long Phan, Norman Mu, Oliver Zhang, Dan Hendrycks

NeurIPSW 2024 A Closer Look at System Message Robustness Norman Mu, Jonathan Lu, Michael Lavery, David Wagner

ICML 2024 HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David Forsyth, Dan Hendrycks

CVPR 2024 MoST: Multi-Modality Scene Tokenization for Motion Prediction Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou

CVPRW 2022 A3D: Studying Pretrained Representations with Programmable Datasets Ye Wang, Norman Mu, Daniele Grandi, Nicolas Savva, Jacob Steinhardt

ECCV 2022 SLIP: Self-Supervision Meets Language-Image Pre-Training Norman Mu, Alexander Kirillov, David Wagner, Saining Xie

ICCV 2021 The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer

ICLR 2020 AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan