Inference Time Evidences of Adversarial Attacks for Forensic on Transformers

31 January 2023

Papers citing "Inference Time Evidences of Adversarial Attacks for Forensic on Transformers"

33 / 33 papers shown

Title
Can CNNs Be More Robust Than Transformers? Zeyu Wang Yutong Bai Yuyin Zhou Cihang Xie UQCV OOD 47 46 0 07 Jun 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Y. Fu Shunyao Zhang Shan-Hung Wu Cheng Wan Yingyan Lin AAML 43 67 0 16 Mar 2022
ViT-P: Rethinking Data-efficient Vision Transformers from Locality Bin Chen Ran A. Wang Di Ming Xin Feng ViT 36 7 0 04 Mar 2022
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 229 263 0 10 Nov 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 74 79 0 06 Oct 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 106 949 0 19 Aug 2021
Learning to Detect Adversarial Examples Based on Class Scores Tobias Uelwer Félix D. P. Michels Oliver De Candido AAML 41 1 0 09 Jul 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Steiner Alexander Kolesnikov Xiaohua Zhai Ross Wightman Jakob Uszkoreit Lucas Beyer ViT 105 629 0 18 Jun 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming-Hsuan Yang ViT 304 640 0 21 May 2021
Towards Robust Vision Transformer Xiaofeng Mao Gege Qi YueFeng Chen Xiaodan Li Ranjie Duan Shaokai Ye Yuan He Hui Xue ViT 51 192 0 17 May 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 57 312 0 17 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 611 6,020 0 29 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples Kaleel Mahmood Rigel Mahmood Marten van Dijk ViT 98 224 0 31 Mar 2021
On the Adversarial Robustness of Vision Transformers Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh ViT 62 142 0 29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 389 21,281 0 25 Mar 2021
Learning Defense Transformers for Counterattacking Adversarial Examples Jincheng Li Jingyun Liang Yifan Zhang Jian Chen Mingkui Tan AAML 55 2 0 13 Mar 2021
SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain P. Harder Franz-Josef Pfreundt Margret Keuper J. Keuper AAML 49 48 0 04 Mar 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 112 1,931 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 339 6,731 0 23 Dec 2020
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 146 2,202 0 23 Dec 2020
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 163 1,570 0 30 Sep 2020
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 136 1,408 0 01 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.3K 94,511 0 11 Oct 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 92 1,407 0 08 Dec 2017
Efficient Defenses Against Adversarial Attacks Valentina Zantedeschi Maria-Irina Nicolae Ambrish Rawat AAML 40 297 0 21 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 147 2,393 0 10 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 257 12,029 0 19 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 580 130,942 0 12 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 115 1,854 0 20 May 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 214 8,533 0 16 Aug 2016
Early Methods for Detecting Adversarial Images Dan Hendrycks Kevin Gimpel AAML 72 236 0 01 Aug 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 225 19,011 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 227 14,893 1 21 Dec 2013