Investigating Top- $k$ White-Box and Transferable Black-box Attack

30 March 2022

Kang Zhang

In So Kweon

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Papers citing "Investigating Top-$k$ White-Box and Transferable Black-box Attack"

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Title
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 134 2 0 08 Mar 2025
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 98 80 0 06 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 446 2,694 0 04 May 2021
A Survey On Universal Adversarial Attack Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon AAML 73 93 0 02 Mar 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective Chaoning Zhang Philipp Benz Adil Karjauv In So Kweon AAML 88 42 0 12 Feb 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
Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo Qizhang Li Hao Chen FedML AAML 75 116 0 07 Dec 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 76 17 0 28 Oct 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
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 135 96 0 08 Oct 2020
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective Philipp Benz Chaoning Zhang In So Kweon AAML 62 41 0 07 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 84 48 0 07 Oct 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 71 13 0 15 Sep 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 59 52 0 20 Aug 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 81 119 0 13 Jul 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
Adversarial Fooling Beyond "Flipping the Label" Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu AAML 54 12 0 27 Apr 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J. Liang Lawrence Carin Yiran Chen AAML 71 87 0 27 Apr 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 245 117 0 05 Mar 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
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 75 119 0 17 Nov 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing Sven Gowal J. Uesato Chongli Qin Po-Sen Huang Timothy A. Mann Pushmeet Kohli AAML 107 90 0 21 Oct 2019
On the Efficacy of Knowledge Distillation Ligang He Rui Mao 98 619 0 03 Oct 2019
FDA: Feature Disruptive Attack Aditya Ganeshan S. VivekB. R. Venkatesh Babu AAML 113 105 0 10 Sep 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
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
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 139 1,253 0 29 Apr 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
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses Yingwei Li S. Bai Cihang Xie Zhenyu A. Liao Xiaohui Shen Alan Yuille AAML 137 51 0 01 Apr 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 202 2,291 0 16 Jan 2019
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 70 60 0 10 Dec 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 87 119 0 26 Nov 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 170 1,208 0 23 Apr 2018
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
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
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 185 2,731 0 19 May 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
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 484 3,148 0 04 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 164 2,534 0 26 Oct 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
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 120 3,078 0 14 Nov 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 367 19,764 0 09 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 295 14,978 1 21 Dec 2013

Investigating Top-kkk White-Box and Transferable Black-box Attack

Papers citing "Investigating Top-$k$ White-Box and Transferable Black-box Attack"

Investigating Top- $k$ White-Box and Transferable Black-box Attack