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On the Robustness of Vision Transformers to Adversarial Examples

31 March 2021

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

48 / 148 papers shown

Title
Benchmarking Adversarial Patch Against Aerial Detection Jiawei Lian Shaohui Mei Shun Zhang Mingyang Ma AAML 99 59 0 30 Oct 2022
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture Yi Mo Dongxian Wu Yifei Wang Yiwen Guo Yisen Wang ViT 101 58 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 133 18 0 14 Oct 2022
Designing Robust Transformers using Robust Kernel Density Estimation Xing Han Zhaolin Ren T. Nguyen Khai Nguyen Joydeep Ghosh Nhat Ho 110 6 0 11 Oct 2022
Exploring the Relationship between Architecture and Adversarially Robust Generalization Aishan Liu Shiyu Tang Siyuan Liang Ruihao Gong Boxi Wu Xianglong Liu Dacheng Tao AAML 95 19 0 28 Sep 2022
FG-UAP: Feature-Gathering Universal Adversarial Perturbation Zhixing Ye Xinwen Cheng Xiaolin Huang AAML 110 11 0 27 Sep 2022
On the Adversarial Transferability of ConvMixer Models Ryota Iijima Miki Tanaka Isao Echizen Hitoshi Kiya AAML 65 2 0 19 Sep 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 105 71 0 15 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 104 13 0 07 Sep 2022
On the Transferability of Adversarial Examples between Encrypted Models Miki Tanaka Isao Echizen Hitoshi Kiya SILM 84 4 0 07 Sep 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective Gihyun Kim Juyeop Kim Jong-Seok Lee AAML ViT 54 6 0 20 Aug 2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification Faris Almalik Mohammad Yaqub Karthik Nandakumar ViT AAML MedIm 107 34 0 04 Aug 2022
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem Zheng Wang Wenjie Ruan ViT 84 8 0 01 Aug 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 85 24 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 112 40 0 21 Jul 2022
Revealing Secrets From Pre-trained Models Mujahid Al Rafi Yuan Feng Hyeran Jeon 49 0 0 19 Jul 2022
A Data-Based Perspective on Transfer Learning Saachi Jain Hadi Salman Alaa Khaddaj Eric Wong Sung Min Park Aleksander Madry 84 40 0 12 Jul 2022
Generalization to translation shifts: a study in architectures and augmentations Suriya Gunasekar 54 1 0 05 Jul 2022
Defending Backdoor Attacks on Vision Transformer via Patch Processing Khoa D. Doan Yingjie Lao Peng Yang Ping Li AAML 80 22 0 24 Jun 2022
Proximal Splitting Adversarial Attacks for Semantic Segmentation Jérôme Rony J. Pesquet Ismail Ben Ayed AAML 68 23 0 14 Jun 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO Javier Rando Nasib Naimi Thomas Baumann Max Mathys AAML 55 6 0 14 Jun 2022
OOD Augmentation May Be at Odds with Open-Set Recognition Mohammad Azizmalayeri M. Rohban 68 9 0 09 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 104 6 0 26 Apr 2022
Missingness Bias in Model Debugging Saachi Jain Hadi Salman E. Wong Pengchuan Zhang Vibhav Vineet Sai H. Vemprala Aleksander Madry 100 37 0 19 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 67 33 0 25 Mar 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Y. Fu Shunyao Zhang Shan-Hung Wu Cheng Wan Yingyan Lin AAML 122 67 0 16 Mar 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 66 2 0 07 Feb 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat Fahad Shahbaz Khan Huazhu Fu ViT LM&MA MedIm 197 712 0 24 Jan 2022
Video Transformers: A Survey Javier Selva A. S. Johansen Sergio Escalera Kamal Nasrollahi T. Moeslund Albert Clapés ViT 141 107 0 16 Jan 2022
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification Hai T. Phan Anh Totti Nguyen CVBM 108 24 0 07 Dec 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 118 59 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 75 53 0 29 Nov 2021
DBIA: Data-free Backdoor Injection Attack against Transformer Networks Peizhuo Lv Hualong Ma Jiachen Zhou Ruigang Liang Kai Chen Shengzhi Zhang Yunfei Yang 123 16 0 22 Nov 2021
Are Vision Transformers Robust to Patch Perturbations? Jindong Gu Volker Tresp Yao Qin AAML ViT 115 65 0 20 Nov 2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP Ruiyang Liu Hai-Tao Zheng Li Tao Dun Liang Haitao Zheng 217 100 0 07 Nov 2021
Adversarial Token Attacks on Vision Transformers Ameya Joshi Gauri Jagatap Chinmay Hegde ViT 104 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 109 80 0 06 Oct 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu Basel Alomair Alan Yuille Philip Torr Dacheng Tao VLM AAML 102 108 0 11 Sep 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 114 186 0 10 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 95 32 0 09 Jun 2021
On Improving Adversarial Transferability of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Fahad Shahbaz Khan Fatih Porikli ViT 103 95 0 08 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 55 60 0 07 Jun 2021
Exploring the Limits of Out-of-Distribution Detection Stanislav Fort Jie Jessie Ren Balaji Lakshminarayanan 111 342 0 06 Jun 2021
Towards Robust Vision Transformer Xiaofeng Mao Gege Qi YueFeng Chen Xiaodan Li Ranjie Duan Shaokai Ye Yuan He Hui Xue ViT 79 195 0 17 May 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 86 312 0 17 May 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 115 146 0 29 Mar 2021
A Survey on Visual Transformer Kai Han Yunhe Wang Hanting Chen Xinghao Chen Jianyuan Guo ... Chunjing Xu Yixing Xu Zhaohui Yang Yiman Zhang Dacheng Tao ViT 237 2,294 0 23 Dec 2020
On the Relationship between Self-Attention and Convolutional Layers Jean-Baptiste Cordonnier Andreas Loukas Martin Jaggi 184 535 0 08 Nov 2019