RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches
on Face Recognition

RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition

29 November 2023

Jian Zhao

Papers citing "RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition"

5 / 5 papers shown

Title
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 80 0 0 02 Apr 2025
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML CVBM 23 5 0 25 Jun 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 49 71 0 26 Mar 2022
Robust Physical-World Attacks on Face Recognition Xin-Yang Zheng Yanbo Fan Baoyuan Wu Yong Zhang Jue Wang Shirui Pan AAML CVBM 32 40 0 20 Sep 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,800 0 18 May 2015