CIFS: Improving Adversarial Robustness of CNNs via Channel-wise
Importance-based Feature Selection

CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection

10 February 2021

Vincent Y. F. Tan

Masashi Sugiyama

Papers citing "CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection"

4 / 4 papers shown

Title
Improving Adversarial Robustness via Decoupled Visual Representation Masking Decheng Liu Tao Chen Chunlei Peng Nannan Wang Ruimin Hu Xinbo Gao AAML 51 1 0 16 Jun 2024
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values Shubham Sharma Sanghamitra Dutta Emanuele Albini Freddy Lecue Daniele Magazzeni Manuela Veloso 40 1 0 13 Mar 2024
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 203 345 0 15 Dec 2021