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Defending Against Universal Perturbations With Shared Adversarial Training

10 December 2018

Chaithanya Kumar Mummadi

Thomas Brox

J. H. Metzen

AAML

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Papers citing "Defending Against Universal Perturbations With Shared Adversarial Training"

23 / 23 papers shown

Title
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 115 0 0 08 Feb 2025
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 100 4 0 02 May 2024
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 41 0 0 28 Oct 2022
Adversarial Vulnerability of Temporal Feature Networks for Object Detection Svetlana Pavlitskaya Nikolai Polley Michael Weber J. Marius Zöllner AAML 58 3 0 23 Aug 2022
Investigating Top- $k$ White-Box and Transferable Black-box Attack Chaoning Zhang Philipp Benz Adil Karjauv Jae-Won Cho Kang Zhang In So Kweon 83 43 0 30 Mar 2022
On Distinctive Properties of Universal Perturbations Sung Min Park K. Wei Kai Y. Xiao Jungshian Li Aleksander Madry AAML 118 2 0 31 Dec 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 152 240 0 01 Aug 2021
Towards Robust General Medical Image Segmentation Laura Alexandra Daza Juan C. Pérez Pablo Arbelaez OOD 78 26 0 09 Jul 2021
Real-time Detection of Practical Universal Adversarial Perturbations Kenneth T. Co Luis Muñoz-González Leslie Kanthan Emil C. Lupu AAML 66 7 0 16 May 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks Jinyin Chen Ruoxi Chen Haibin Zheng Zhaoyan Ming Wenrong Jiang Chen Cui AAML 42 11 0 14 May 2021
Universal Adversarial Training with Class-Wise Perturbations Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 58 27 0 07 Apr 2021
A Survey On Universal Adversarial Attack Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon AAML 78 93 0 02 Mar 2021
Adversarial Examples Detection beyond Image Space Kejiang Chen YueFeng Chen Hang Zhou Chuan Qin Xiaofeng Mao Weiming Zhang Nenghai Yu AAML 42 9 0 23 Feb 2021
Meta Adversarial Training against Universal Patches J. H. Metzen Nicole Finnie Robin Hutmacher OOD AAML 112 21 0 27 Jan 2021
Locally optimal detection of stochastic targeted universal adversarial perturbations Amish Goel P. Moulin AAML 50 2 0 08 Dec 2020
Towards Imperceptible Universal Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 31 1 0 24 Nov 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 76 17 0 28 Oct 2020
A Study for Universal Adversarial Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 42 2 0 04 Oct 2020
Universal Adversarial Perturbations: A Survey Ashutosh Chaubey Nikhil Agrawal Kavya Barnwal K. K. Guliani Pramod Mehta OOD AAML 101 47 0 16 May 2020
Frequency-Tuned Universal Adversarial Attacks Yingpeng Deng Lina Karam AAML 31 7 0 11 Mar 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 137 39 0 26 Feb 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 86 64 0 16 Jan 2020
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 102 190 0 27 Nov 2018