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When Adversarial Training Meets Vision Transformers: Recipes from
  Training to Architecture

When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture

14 October 2022
Yi Mo
Dongxian Wu
Yifei Wang
Yiwen Guo
Yisen Wang
    ViT
ArXivPDFHTML

Papers citing "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture"

13 / 13 papers shown
Title
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks
Adversarial Training for Multimodal Large Language Models against Jailbreak Attacks
Liming Lu
Shuchao Pang
Siyuan Liang
Haotian Zhu
Xiyu Zeng
Aishan Liu
Yunhuai Liu
Yongbin Zhou
AAML
49
1
0
05 Mar 2025
ADAPT to Robustify Prompt Tuning Vision Transformers
ADAPT to Robustify Prompt Tuning Vision Transformers
Masih Eskandar
Tooba Imtiaz
Zifeng Wang
Jennifer Dy
VPVLM
VLM
AAML
36
0
0
19 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise
Catastrophic Overfitting: A Potential Blessing in Disguise
Mengnan Zhao
Lihe Zhang
Yuqiu Kong
Baocai Yin
AAML
37
1
0
28 Feb 2024
Better Representations via Adversarial Training in Pre-Training: A
  Theoretical Perspective
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
Yue Xing
Xiaofeng Lin
Qifan Song
Yi Tian Xu
Belinda Zeng
Guang Cheng
SSL
8
0
0
26 Jan 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness
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
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from
  a Minimax Game Perspective
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
Yifei Wang
Liangchen Li
Jiansheng Yang
Zhouchen Lin
Yisen Wang
16
11
0
30 Oct 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao-Li Li
Hang Chen
Xiaolin Hu
AAML
34
4
0
27 May 2023
Generalist: Decoupling Natural and Robust Generalization
Generalist: Decoupling Natural and Robust Generalization
Hongjun Wang
Yisen Wang
OOD
AAML
25
14
0
24 Mar 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial
  Defense
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
Zunzhi You
Daochang Liu
Bohyung Han
Chang Xu
AAML
VLM
24
4
0
02 Feb 2023
Language-Driven Anchors for Zero-Shot Adversarial Robustness
Language-Driven Anchors for Zero-Shot Adversarial Robustness
Xiao-Li Li
Wei Emma Zhang
Yining Liu
Zhan Hu
Bo-Wen Zhang
Xiaolin Hu
26
8
0
30 Jan 2023
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
192
345
0
15 Dec 2021
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
181
257
0
10 Nov 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
217
674
0
19 Oct 2020
1