no code implementations • 4 Mar 2024 • Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li
In this work, we propose the first robustness certification framework COMMIT certify robustness of multi-sensor fusion systems against semantic attacks.
1 code implementation • CVPR 2023 • Zhanhao Hu, Wenda Chu, Xiaopei Zhu, HUI ZHANG, Bo Zhang, Xiaolin Hu
In order to craft natural-looking adversarial clothes that can evade person detectors at multiple viewing angles, we propose adversarial camouflage textures (AdvCaT) that resemble one kind of the typical textures of daily clothes, camouflage textures.
no code implementations • 13 Feb 2023 • Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
In this paper, we propose PerAda, a parameter-efficient pFL framework that reduces communication and computational costs and exhibits superior generalization performance, especially under test-time distribution shifts.
no code implementations • 24 Jul 2022 • Wenda Chu
We study the robust principal component analysis (RPCA) problem in a distributed setting.
no code implementations • 21 Jul 2022 • Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Arash Nourian, Han Zhao, Bo Li
However, due to the heterogeneous nature of local data, it is challenging to optimize or even define fairness of the trained global model for the agents.
2 code implementations • 30 Jan 2022 • Wenda Chu, Linyi Li, Bo Li
In this paper, we propose a transformation-specific smoothing framework TPC, which provides tight and scalable robustness guarantees for point cloud models against semantic transformation attacks.