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Improving Transferable Targeted Attacks with Feature Tuning Mixup

23 November 2024

Papers citing "Improving Transferable Targeted Attacks with Feature Tuning Mixup"

42 / 42 papers shown

Title
UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping Yanjie Li Wenxuan Zhang K. Liang Bin Xiao AAML 94 3 0 10 Jan 2025
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models Xuelong Dai Kaisheng Liang Bin Xiao DiffM 102 29 0 24 Jul 2023
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup Junyoung Byun Myung-Joon Kwon Seungju Cho Yoonji Kim Changick Kim AAML 90 18 0 24 May 2023
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 83 84 0 12 Oct 2022
Enhancing the Self-Universality for Transferable Targeted Attacks Zhipeng Wei Jingjing Chen Zuxuan Wu Yueping Jiang AAML 72 35 0 08 Sep 2022
Physical-World Optical Adversarial Attacks on 3D Face Recognition Yanjie Li Yiquan Li Xuelong Dai Songtao Guo Bin Xiao AAML 128 31 0 26 May 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 94 136 0 31 Mar 2022
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Junyoung Byun Seungju Cho Myung-Joon Kwon Heeseon Kim Changick Kim AAML DiffM 63 70 0 17 Mar 2022
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting Junhua Zou Zhisong Pan Junyang Qiu Xin Liu Ting Rui Wei Li 76 69 0 11 Dec 2021
Feature Importance-aware Transferable Adversarial Attacks Peng Kuang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 79 218 0 29 Jul 2021
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 75 39 0 05 Jul 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers Xiangxiang Chu Zhi Tian Yuqing Wang Bo Zhang Haibing Ren Xiaolin K. Wei Huaxia Xia Chunhua Shen ViT 87 1,028 0 28 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 97 794 0 02 Apr 2021
Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh ViT 528 583 0 30 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 108 395 0 29 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 143 835 0 19 Mar 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 149 201 0 31 Jan 2021
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 153 126 0 21 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 684 41,563 0 22 Oct 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 59 52 0 20 Aug 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability Nathan Inkawhich Kevin J. Liang Binghui Wang Matthew J. Inkawhich Lawrence Carin Yiran Chen AAML 70 90 0 29 Apr 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J. Liang Lawrence Carin Yiran Chen AAML 71 87 0 27 Apr 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 96 314 0 14 Feb 2020
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML 112 574 0 17 Aug 2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack Qian Huang Isay Katsman Horace He Zeqi Gu Serge J. Belongie Ser-Nam Lim SILM AAML 94 246 0 23 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 192 18,224 0 28 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 97 1,845 0 06 May 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 94 853 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 113 1,127 0 19 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 234 19,353 0 13 Jan 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models Wieland Brendel Jonas Rauber Matthias Bethge AAML 77 1,351 0 12 Dec 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 321 12,151 0 19 Jun 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 147 1,741 0 08 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.5K 14,637 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 875 36,910 0 25 Aug 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,593 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 551 5,914 0 08 Jul 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 382 14,280 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,444 0 02 Dec 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014