Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense

2 February 2023

Papers citing "Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense"

7 / 7 papers shown

Title
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation Wenzhao Xiang Chang Liu Hongyang Yu Xilin Chen 29 0 0 02 Mar 2025
Robust Learning under Hybrid Noise Yang Wei Shuo Chen Shanshan Ye Bo Han Chen Gong NoLa 17 1 0 04 Jul 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 33 0 0 08 Dec 2023
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 190 410 0 16 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 170 256 0 10 Nov 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 207 668 0 19 Oct 2020