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Model-Agnostic Hierarchical Attention for 3D Object Detection


Jan 06, 2023
Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu

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What do Vision Transformers Learn? A Visual Exploration


Dec 13, 2022
Amin Ghiasi, Hamid Kazemi, Eitan Borgnia, Steven Reich, Manli Shu, Micah Goldblum, Andrew Gordon Wilson, Tom Goldstein

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Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models


Sep 15, 2022
Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao

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* NeurIPS 2022 

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Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability


Aug 03, 2021
Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein

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Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images


Feb 26, 2021
Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming C. Lin

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Towards Accurate Quantization and Pruning via Data-free Knowledge Transfer


Oct 14, 2020
Chen Zhu, Zheng Xu, Ali Shafahi, Manli Shu, Amin Ghiasi, Tom Goldstein

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Prepare for the Worst: Generalizing across Domain Shifts with Adversarial Batch Normalization


Sep 21, 2020
Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein

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Preparing for the Worst: Making Networks Less Brittle with Adversarial Batch Normalization


Sep 18, 2020
Manli Shu, Zuxuan Wu, Micah Goldblum, Tom Goldstein

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Headless Horseman: Adversarial Attacks on Transfer Learning Models


Apr 20, 2020
Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu

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* 5 pages, 2 figures. Accepted in ICASSP 2020. Code available on https://github.com/zhuchen03/headless-attack.git 

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