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Norman Mu
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- affiliation: University of California, Berkeley, USA
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2020 – today
- 2024
- [i11]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 abs/2402.04249 (2024) - [i10]Chawin Sitawarin, Norman Mu, David A. Wagner, Alexandre Araujo:
PAL: Proxy-Guided Black-Box Attack on Large Language Models. CoRR abs/2402.09674 (2024) - [i9]Banghua Zhu, Norman Mu, Jiantao Jiao, David A. Wagner:
Generative AI Security: Challenges and Countermeasures. CoRR abs/2402.12617 (2024) - [i8]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 abs/2404.19531 (2024) - 2023
- [i7]Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner:
Can LLMs Follow Simple Rules? CoRR abs/2311.04235 (2023) - [i6]Julien Piet, Chawin Sitawarin, Vivian Fang, Norman Mu, David A. Wagner:
Mark My Words: Analyzing and Evaluating Language Model Watermarks. CoRR abs/2312.00273 (2023) - 2022
- [c4]Ye Wang, Norman Mu, Daniele Grandi, Nicolas Savva, Jacob Steinhardt:
A3D: Studying Pretrained Representations with Programmable Datasets. CVPR Workshops 2022: 4877-4885 - [c3]Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie:
SLIP: Self-supervision Meets Language-Image Pre-training. ECCV (26) 2022: 529-544 - 2021
- [j1]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): 21:1-21:32 (2021) - [c2]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: 8320-8329 - [i5]Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie:
SLIP: Self-supervision meets Language-Image Pre-training. CoRR abs/2112.12750 (2021) - 2020
- [c1]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 - [i4]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 abs/2006.16241 (2020)
2010 – 2019
- 2019
- [i3]Norman Mu, Justin Gilmer:
MNIST-C: A Robustness Benchmark for Computer Vision. CoRR abs/1906.02337 (2019) - [i2]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 abs/1912.02781 (2019) - 2018
- [i1]Norman Mu, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney:
Parameter Re-Initialization through Cyclical Batch Size Schedules. CoRR abs/1812.01216 (2018)
Coauthor Index
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