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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"

50 / 148 papers shown

Title
Busting the Paper Ballot: Voting Meets Adversarial Machine Learning Kaleel Mahmood Caleb Manicke Ethan Rathbun Aayushi Verma Sohaib Ahmad Nicholas Stamatakis L. Michel Benjamin Fuller AAML 58 0 0 17 Jun 2025
Attacking Attention of Foundation Models Disrupts Downstream Tasks Hondamunige Prasanna Silva Federico Becattini Lorenzo Seidenari AAML 29 0 0 03 Jun 2025
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images George R. Nahass Zhu Wang Homa Rashidisabet Won Hwa Kim Sasha Hubschman ... Chad A. Purnell P. Setabutr Ann Q. Tran Darvin Yi Sathya Ravi MU OOD 55 0 0 28 May 2025
Adversarially Pretrained Transformers may be Universally Robust In-Context Learners Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 127 0 0 20 May 2025
A Simple DropConnect Approach to Transfer-based Targeted Attack Tongrui Su Qingbin Li Shengyu Zhu Wei Chen Xueqi Cheng AAML 199 0 0 24 Apr 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 76 0 0 23 Apr 2025
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning Hao Wang Shuo Zhang Biao Leng ViT 284 1 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 321 0 0 02 Apr 2025
Model Hemorrhage and the Robustness Limits of Large Language Models Ziyang Ma Hui Yuan Lefei Zhang Gui-Song Xia Bo Du Liangpei Zhang Dacheng Tao 126 1 0 31 Mar 2025
Transformer Meets Twicing: Harnessing Unattended Residual Information Laziz U. Abdullaev Tan M. Nguyen 146 3 0 02 Mar 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses Mohamed Djilani Salah Ghamizi Maxime Cordy 160 1 0 31 Dec 2024
Evaluating the Adversarial Robustness of Detection Transformers A. Nazeri Chunheng Zhao P. Pisu AAML 124 1 0 25 Dec 2024
One Pixel is All I Need Deng Siqin Zhou Xiaoyi ViT 453 0 0 14 Dec 2024
Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models Yubo Wang Chaohu Liu Yanqiu Qu Haoyu Cao Deqiang Jiang Linli Xu MLLM AAML 56 3 0 09 Oct 2024
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer Shihua Sun Kenechukwu Nwodo Shridatt Sugrim Angelos Stavrou Haining Wang AAML 87 1 0 20 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 115 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 106 9 0 28 Jul 2024
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness Honghao Chen Yurong Zhang Xiaokun Feng Xiangxiang Chu Kaiqi Huang AAML 83 6 0 12 Jul 2024
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers Chao Zhou Xiaowen Shi Yuan-Gen Wang ViT AAML 81 0 0 29 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 252 1 0 21 Jun 2024
Elliptical Attention Stefan K. Nielsen Laziz U. Abdullaev R. Teo Tan M. Nguyen 87 4 0 19 Jun 2024
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification Md Atik Ahamed Qiang Cheng Mamba 126 4 0 06 Jun 2024
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers Fatemeh Nourilenjan Nokabadi Jean-Franccois Lalonde Christian Gagné AAML 57 2 0 03 Jun 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 97 0 0 09 Apr 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 88 0 0 29 Mar 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 99 4 0 29 Mar 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object Chenshuang Zhang Fei Pan Junmo Kim In So Kweon Chengzhi Mao 85 11 1 27 Mar 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models Yiwei Zhou Xiaobo Xia Zhiwei Lin Bo Han Tongliang Liu VLM 106 16 0 21 Mar 2024
ADAPT to Robustify Prompt Tuning Vision Transformers Masih Eskandar Tooba Imtiaz Zifeng Wang Jennifer Dy VPVLM VLM AAML 92 0 0 19 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 130 1 0 15 Mar 2024
Transformers Learn Low Sensitivity Functions: Investigations and Implications Bhavya Vasudeva Deqing Fu Tianyi Zhou Elliott Kau Youqi Huang Vatsal Sharan 113 2 0 11 Mar 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation Chenxing Gao Hang Zhou Junqing Yu Yuteng Ye Jiale Cai Junle Wang Wei Yang AAML 85 3 0 10 Mar 2024
PIDformer: Transformer Meets Control Theory Tam Nguyen César A. Uribe Tan-Minh Nguyen Richard G. Baraniuk 138 9 0 25 Feb 2024
Distilling Adversarial Robustness Using Heterogeneous Teachers Jieren Deng A. Palmer Rigel Mahmood Ethan Rathbun Jinbo Bi Kaleel Mahmood Derek Aguiar AAML 80 1 0 23 Feb 2024
Flexible Physical Camouflage Generation Based on a Differential Approach Yang Li Wenyi Tan Chenxing Zhao Shuangju Zhou Xinkai Liang Quanbiao Pan AAML 63 6 0 21 Feb 2024
Exploiting Alpha Transparency In Language And Vision-Based AI Systems David Noever Forrest McKee AAML 73 0 0 15 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 94 6 0 11 Feb 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping Qinliang Lin Cheng Luo Zenghao Niu Xilin He Weicheng Xie Yuanbo Hou Linlin Shen Siyang Song AAML 103 13 0 06 Feb 2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers Oryan Yehezkel Alon Zolfi Amit Baras Yuval Elovici A. Shabtai AAML 77 2 0 04 Feb 2024
Jailbreaking Attack against Multimodal Large Language Model Zhenxing Niu Haoxuan Ji Xinbo Gao Gang Hua Rong Jin 97 76 0 04 Feb 2024
Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception Forrest McKee David Noever AAML 358 2 0 29 Jan 2024
Trapped in texture bias? A large scale comparison of deep instance segmentation J. Theodoridis Jessica Hofmann J. Maucher A. Schilling SSeg 77 5 0 17 Jan 2024
A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples Ryota Iijima Sayaka Shiota Hitoshi Kiya AAML 46 0 0 05 Jan 2024
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement Zheng Yuan Jie Zhang Yude Wang Shiguang Shan Xilin Chen AAML 138 1 0 03 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 101 8 0 28 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 113 29 0 08 Dec 2023
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems Bilel Tarchoun Quazi Mishkatul Alam Nael B. Abu-Ghazaleh Ihsen Alouani AAML 41 0 0 30 Nov 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip Torr Jindong Gu AAML 84 5 0 30 Nov 2023
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 89 9 0 29 Nov 2023
Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks Lucas Beerens D. Higham 73 1 0 28 Nov 2023