On the Robustness of Vision Transformers to Adversarial Examples

31 March 2021

Papers citing "On the Robustness of Vision Transformers to Adversarial Examples"

49 / 49 papers shown

Title
A Simple DropConnect Approach to Transfer-based Targeted Attack Tongrui Su Qingbin Li Shengyu Zhu Wei Chen Xueqi Cheng AAML 64 0 0 24 Apr 2025
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning Hao Wang Shuo Zhang Biao Leng ViT 62 0 0 03 Apr 2025
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 78 0 0 02 Apr 2025
Transformer Meets Twicing: Harnessing Unattended Residual Information Laziz U. Abdullaev Tan M. Nguyen 37 2 0 02 Mar 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 28 0 0 31 Dec 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 54 6 0 25 Aug 2024
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection Vincenzo De Rosa Fabrizio Guillaro Giovanni Poggi D. Cozzolino L. Verdoliva AAML 52 4 0 28 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 73 1 0 21 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md. Atik Ahamed Qiang Cheng Mamba 58 1 0 06 Jun 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng Xiaoyong Chen Jiaming Liang Huisi Wu Guangzhong Cao Yong Guo AAML 32 3 0 29 Mar 2024
ADAPT to Robustify Prompt Tuning Vision Transformers Masih Eskandar Tooba Imtiaz Zifeng Wang Jennifer Dy VPVLM VLM AAML 36 0 0 19 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 31 1 0 15 Mar 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation Chenxing Gao Hang Zhou Junqing Yu Yuteng Ye Jiale Cai Junle Wang Wei Yang AAML 27 3 0 10 Mar 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 23 6 0 11 Feb 2024
Trapped in texture bias? A large scale comparison of deep instance segmentation J. Theodoridis Jessica Hofmann J. Maucher A. Schilling SSeg 19 5 0 17 Jan 2024
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 17 5 0 29 Nov 2023
Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks Lucas Beerens D. Higham 26 1 0 28 Nov 2023
Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation Shashank Kotyan Danilo Vasconcellos Vargas ViT 22 2 0 01 Nov 2023
Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images Zhao Ning Zou Yuhang Zhang Robert Wijaya 13 0 0 12 Oct 2023
Instruction Position Matters in Sequence Generation with Large Language Models Yanjun Liu Xianfeng Zeng Fandong Meng Jie Zhou LRM 35 8 0 23 Aug 2023
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix Shashank Agnihotri Kanchana Vaishnavi Gandikota Julia Grabinski Paramanand Chandramouli M. Keuper 30 9 0 25 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 22 20 0 15 Jul 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 30 48 0 18 May 2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training Tianjiao Li Lin Geng Foo Ping Hu Xindi Shang Hossein Rahmani Zehuan Yuan J. Liu 32 7 0 09 Apr 2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization Jianping Zhang Yizhan Huang Weibin Wu Michael R. Lyu AAML ViT 13 48 0 28 Mar 2023
Self-attention in Vision Transformers Performs Perceptual Grouping, Not Attention Paria Mehrani John K. Tsotsos 15 24 0 02 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 15 72 0 28 Feb 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification Omid Nejati Manzari Hamid Ahmadabadi Hossein Kashiani S. B. Shokouhi Ahmad Ayatollahi ViT MedIm 21 174 0 19 Feb 2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers Hugo Lemarchant Liang Li Yiming Qian Yuta Nakashima Hajime Nagahara ViT AAML 36 0 0 31 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 24 10 0 30 Jan 2023
Out of Distribution Performance of State of Art Vision Model Salman Rahman W. Lee 18 2 0 25 Jan 2023
Representation Separation for Semantic Segmentation with Vision Transformers Yuanduo Hong Huihui Pan Weichao Sun Xinghu Yu Huijun Gao ViT 19 5 0 28 Dec 2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning Ethan Rathbun Kaleel Mahmood Sohaib Ahmad Caiwen Ding Marten van Dijk AAML 14 4 0 26 Nov 2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers Jinyu Chen Wenchao Xu Song Guo Junxiao Wang Jie M. Zhang Haozhao Wang FedML 15 32 0 15 Nov 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yi Mo Dongxian Wu Yifei Wang Yiwen Guo Yisen Wang ViT 27 52 0 14 Oct 2022
Evaluating Out-of-Distribution Performance on Document Image Classifiers Stefan Larson Gordon Lim Yutong Ai David Kuang Kevin Leach OODD OOD 24 18 0 14 Oct 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective Gihyun Kim Juyeop Kim Jong-Seok Lee AAML ViT 6 4 0 20 Aug 2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification Faris Almalik Mohammad Yaqub Karthik Nandakumar ViT AAML MedIm 15 33 0 04 Aug 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 21 22 0 25 Jul 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 23 37 0 21 Jul 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO Javier Rando Nasib Naimi Thomas Baumann Max Mathys AAML 18 5 0 14 Jun 2022
Deeper Insights into the Robustness of ViTs towards Common Corruptions Rui Tian Zuxuan Wu Qi Dai Han Hu Yu-Gang Jiang ViT AAML 14 4 0 26 Apr 2022
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness Giulio Lovisotto Nicole Finnie Mauricio Muñoz Chaithanya Kumar Mummadi J. H. Metzen AAML ViT 17 32 0 25 Mar 2022
Video Transformers: A Survey Javier Selva A. S. Johansen Sergio Escalera Kamal Nasrollahi T. Moeslund Albert Clapés ViT 20 102 0 16 Jan 2022
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 18 56 0 30 Nov 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 14 53 0 29 Nov 2021
Adversarial Token Attacks on Vision Transformers Ameya Joshi Gauri Jagatap C. Hegde ViT 24 19 0 08 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 29 78 0 06 Oct 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 18 137 0 29 Mar 2021