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Towards Transferable Adversarial Attacks on Vision Transformers

9 September 2021

Zuxuan Wu

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Papers citing "Towards Transferable Adversarial Attacks on Vision Transformers"

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Title
TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization Amira Guesmi B. Ouni Muhammad Shafique AAML 231 0 0 26 May 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 97 0 0 13 Jan 2025
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 90 6 0 25 Aug 2024
SoK: Leveraging Transformers for Malware Analysis Pradip Kunwar Kshitiz Aryal Maanak Gupta Mahmoud Abdelsalam Elisa Bertino 124 0 0 27 May 2024
netFound: Foundation Model for Network Security Satyandra Guthula Navya Battula Roman Beltiukov Wenbo Guo Arpit Gupta Inder Monga 77 19 0 25 Oct 2023
Cross-Modal Transferable Adversarial Attacks from Images to Videos Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 52 41 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 83 30 0 07 Dec 2021
Attacking Video Recognition Models with Bullet-Screen Comments Kai-xiang Chen Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 56 22 0 29 Oct 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu D. Song Alan Yuille Philip Torr Dacheng Tao VLM AAML 41 108 0 11 Sep 2021
On Improving Adversarial Transferability of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Fahad Shahbaz Khan Fatih Porikli ViT 82 95 0 08 Jun 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 61 311 0 17 May 2021
Visformer: The Vision-friendly Transformer Zhengsu Chen Lingxi Xie Jianwei Niu Xuefeng Liu Longhui Wei Qi Tian ViT 166 221 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 157 267 0 20 Apr 2021
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference Ben Graham Alaaeldin El-Nouby Hugo Touvron Pierre Stock Armand Joulin Hervé Jégou Matthijs Douze ViT 76 788 0 02 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 154 1,014 0 31 Mar 2021
Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh ViT 500 581 0 30 Mar 2021
CvT: Introducing Convolutions to Vision Transformers Haiping Wu Bin Xiao Noel Codella Mengchen Liu Xiyang Dai Lu Yuan Lei Zhang ViT 152 1,910 0 29 Mar 2021
DeepViT: Towards Deeper Vision Transformer Daquan Zhou Bingyi Kang Xiaojie Jin Linjie Yang Xiaochen Lian Zihang Jiang Qibin Hou Jiashi Feng ViT 99 522 0 22 Mar 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases Stéphane dÁscoli Hugo Touvron Matthew L. Leavitt Ari S. Morcos Giulio Biroli Levent Sagun ViT 126 827 0 19 Mar 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 189 199 0 01 Mar 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 391 1,565 0 27 Feb 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet Li-xin Yuan Yunpeng Chen Tao Wang Weihao Yu Yujun Shi Zihang Jiang Francis E. H. Tay Jiashi Feng Shuicheng Yan ViT 133 1,939 0 28 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 384 6,768 0 23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 657 41,103 0 22 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 89 95 0 08 Oct 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 76 313 0 14 Feb 2020
Sparse Black-box Video Attack with Reinforcement Learning Xingxing Wei Huanqian Yan Yue Liu AAML 62 50 0 11 Jan 2020
Heuristic Black-box Adversarial Attacks on Video Recognition Models Zhipeng Wei Jingjing Chen Xingxing Wei Linxi Jiang Tat-Seng Chua Fengfeng Zhou Yueping Jiang AAML 46 69 0 21 Nov 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML 68 569 0 17 Aug 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 88 848 0 05 Apr 2019
Improving Transferability of Adversarial Examples with Input Diversity Cihang Xie Zhishuai Zhang Yuyin Zhou Song Bai Jianyu Wang Zhou Ren Alan Yuille AAML 106 1,123 0 19 Mar 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 140 1,737 0 08 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 472 3,144 0 04 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 305 20,023 0 07 Oct 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 540 5,897 0 08 Jul 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,253 0 23 Feb 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 883 27,373 0 02 Dec 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012