Norman Mu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Top Venues

ACM Trans. Asian Low Resour. Lang. Inf. Process.

Publications

Banghua Zhu, Norman Mu, Jiantao Jiao, David A. Wagner
Generative AI Security: Challenges and Countermeasures. CoRR (2024)
Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. CoRR (2024)
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
MoST: Multi-modality Scene Tokenization for Motion Prediction. CoRR (2024)
Chawin Sitawarin, Norman Mu, David A. Wagner, Alexandre Araujo
PAL: Proxy-Guided Black-Box Attack on Large Language Models. CoRR (2024)
Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner
Can LLMs Follow Simple Rules? CoRR (2023)
Julien Piet, Chawin Sitawarin, Vivian Fang, Norman Mu, David A. Wagner
Mark My Words: Analyzing and Evaluating Language Model Watermarks. CoRR (2023)
Ye Wang, Norman Mu, Daniele Grandi, Nicolas Savva, Jacob Steinhardt
A3D: Studying Pretrained Representations with Programmable Datasets. CVPR Workshops (2022)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
SLIP: Self-supervision Meets Language-Image Pre-training. ECCV (26) (2022)
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
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. ICCV (2021)
Ravi Krishna, Norman Mu, Kurt Keutzer
Applying Text Analytics to the Mind-section Literature of the Tibetan Tradition of the Great Perfection. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20 (2) (2021)
Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie
SLIP: Self-supervision meets Language-Image Pre-training. CoRR (2021)
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
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. CoRR (2020)
Dan Hendrycks, Norman Mu, Ekin Dogus Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty. ICLR (2020)
Norman Mu, Justin Gilmer
MNIST-C: A Robustness Benchmark for Computer Vision. CoRR (2019)
Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty. CoRR (2019)
Norman Mu, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney
Parameter Re-Initialization through Cyclical Batch Size Schedules. CoRR (2018)