Revisiting Adversarial Training for ImageNet: Architectures, Training
and Generalization across Threat Models

Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models

3 March 2023

Francesco Croce

Matthias Hein

Papers citing "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"

18 / 18 papers shown

Title
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Q. Huang DiffM 36 0 0 02 May 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 55 0 0 12 Mar 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen J. Guo Xueqi Cheng BDL VLM 47 1 0 25 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 57 0 0 20 Feb 2025
Trading Inference-Time Compute for Adversarial Robustness Wojciech Zaremba Evgenia Nitishinskaya Boaz Barak Stephanie Lin Sam Toyer ... Rachel Dias Eric Wallace Kai Y. Xiao Johannes Heidecke Amelia Glaese LRM AAML 85 15 0 31 Jan 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 61 1 0 20 Nov 2024
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Alexander Gushchin Khaled Abud Georgii Bychkov E. Shumitskaya Anna Chistyakova Sergey Lavrushkin Bader Rasheed Kirill Malyshev D. Vatolin Anastasia Antsiferova AAML 27 2 0 02 Aug 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 13 6 0 11 Feb 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 31 0 0 08 Dec 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You Daochang Liu Bohyung Han Chang Xu AAML VLM 16 4 0 02 Feb 2023
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 395 0 24 Jan 2022
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 167 256 0 10 Nov 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Xingjun Ma AAML TPM 44 100 0 07 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 198 477 0 01 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 37 54 0 01 Mar 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