Towards Transferable Adversarial Attacks on Vision Transformers

9 September 2021

Zuxuan Wu

Papers citing "Towards Transferable Adversarial Attacks on Vision Transformers"

21 / 21 papers shown

Title
IllusionCAPTCHA: A CAPTCHA based on Visual Illusion Ziqi Ding Gelei Deng Yi Liu Junchen Ding Jieshan Chen Yulei Sui Yuekang Li 33 0 0 08 Feb 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Jialin Wu Kaikai Pan Yanjiao Chen Jiangyi Deng Shengyuan Pang Wenyuan Xu ViT AAML 41 0 0 13 Jan 2025
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 54 6 0 25 Aug 2024
SoK: Leveraging Transformers for Malware Analysis Pradip Kunwar Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Elisa Bertino 82 0 0 27 May 2024
Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks Lucas Beerens D. Higham 21 1 0 28 Nov 2023
netFound: Foundation Model for Network Security Satyandra Guthula Navya Battula Roman Beltiukov Wenbo Guo Arpit Gupta Inder Monga 16 13 0 25 Oct 2023
Investigating the Robustness and Properties of Detection Transformers (DETR) Toward Difficult Images Zhao Ning Zou Yuhang Zhang Robert Wijaya 10 0 0 12 Oct 2023
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models Dong Lu Zhiqiang Wang Teng Wang Weili Guan Hongchang Gao Feng Zheng AAML 46 63 0 26 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 47 0 18 May 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
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
Cross-Modal Transferable Adversarial Attacks from Images to Videos Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 16 37 0 10 Dec 2021
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal Yucheng Shi Yahong Han Yu-an Tan Xiaohui Kuang 35 26 0 07 Dec 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 23 78 0 06 Oct 2021
Visformer: The Vision-friendly Transformer Zhengsu Chen Lingxi Xie Jianwei Niu Xuefeng Liu Longhui Wei Qi Tian ViT 109 206 0 26 Apr 2021
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection Junke Wang Zuxuan Wu Wenhao Ouyang Xintong Han Jingjing Chen Ser-Nam Lim Yu-Gang Jiang ViT 102 254 0 20 Apr 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 133 191 0 01 Mar 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,490 0 27 Feb 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,102 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,597 0 03 Jul 2012