Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness

25 March 2022

Giulio Lovisotto

Nicole Finnie

Mauricio Muñoz

Chaithanya Kumar Mummadi

Papers citing "Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness"

21 / 21 papers shown

Title
Evaluating the Adversarial Robustness of Detection Transformers A. Nazeri Chunheng Zhao P. Pisu AAML 44 1 0 25 Dec 2024
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer Shihua Sun Kenechukwu Nwodo Shridatt Sugrim Angelos Stavrou Haining Wang AAML 26 1 0 20 Sep 2024
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets Sven Oehri Nikolas Ebert Ahmed Abdullah Didier Stricker Oliver Wasenmüller ViT 26 5 0 26 Aug 2024
P-MSDiff: Parallel Multi-Scale Diffusion for Remote Sensing Image Segmentation Qi Zhang Guohua Geng Long-He Yan Pengbo Zhou Zhaodi Li Kang Li Qinglin Liu DiffM 32 1 0 30 May 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 39 3 0 29 Mar 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation Chenxing Gao Hang Zhou Junqing Yu Yuteng Ye Jiale Cai Junle Wang Wei Yang AAML 32 3 0 10 Mar 2024
FullLoRA-AT: Efficiently Boosting the Robustness of Pretrained Vision Transformers Zheng Yuan Jie Zhang Shiguang Shan 42 2 0 03 Jan 2024
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement Zheng Yuan Jie Zhang Yude Wang Shiguang Shan Xilin Chen AAML 35 1 0 03 Jan 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization Xixu Hu Runkai Zheng Jindong Wang Cheuk Hang Leung Qi Wu Xing Xie 35 1 0 02 Jan 2024
Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches Quazi Mishkatul Alam Bilel Tarchoun Ihsen Alouani Nael B. Abu-Ghazaleh AAML ViT 41 1 0 21 Nov 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses Chong Xiang Tong Wu Sihui Dai Jonathan Petit Suman Jana Prateek Mittal 49 2 0 19 Oct 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 23 11 0 21 Jun 2023
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 26 1 0 12 Dec 2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention Francesco Croce Matthias Hein 41 6 0 14 Sep 2022
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 50 17 0 13 Sep 2022
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal Yucheng Shi Yahong Han Yu-an Tan Xiaohui Kuang 38 30 0 07 Dec 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 256 621 0 21 May 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 280 1,982 0 09 Feb 2021
Video Transformer Network Daniel Neimark Omri Bar Maya Zohar Dotan Asselmann ViT 198 422 0 01 Feb 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015
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 296 39,198 0 01 Sep 2014