Norman Mu

According to our database, Norman Mu authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Generative AI Security: Challenges and Countermeasures.

Banghua Zhu, Norman Mu, Jiantao Jiao, David A. Wagner

CoRR, 2024

PAL: Proxy-Guided Black-Box Attack on Large Language Models.

Chawin Sitawarin, Norman Mu, David A. Wagner, Alexandre Araujo

CoRR, 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 A. Forsyth, Dan Hendrycks

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Mark My Words: Analyzing and Evaluating Language Model Watermarks.

Julien Piet, Chawin Sitawarin, Vivian Fang, Norman Mu, David A. Wagner

CoRR, 2023

Can LLMs Follow Simple Rules?

Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner

CoRR, 2023

2022

SLIP: Self-supervision Meets Language-Image Pre-training.

Norman Mu, Alexander Kirillov, David A. Wagner, Saining Xie

Proceedings of the Computer Vision - ECCV 2022, 2022

A3D: Studying Pretrained Representations with Programmable Datasets.

Ye Wang, Norman Mu, Daniele Grandi, Nicolas Savva, Jacob Steinhardt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Applying Text Analytics to the Mind-section Literature of the Tibetan Tradition of the Great Perfection.

Ravi Krishna, Norman Mu, Kurt Keutzer

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.

Dan Hendrycks, Norman Mu, Ekin Dogus Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

MNIST-C: A Robustness Benchmark for Computer Vision.

Norman Mu, Justin Gilmer

CoRR, 2019

2018

Parameter Re-Initialization through Cyclical Batch Size Schedules.

Norman Mu, Zhewei Yao, Amir Gholami, Kurt Keutzer, Michael W. Mahoney

CoRR, 2018