PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses

19 October 2023

Papers citing "PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses"

21 / 21 papers shown

Title
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models Hossein Khalili Seongbin Park Venkat Bollapragada Nader Sehatbakhsh AAML 181 0 0 22 May 2025
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness Giulio Lovisotto Nicole Finnie Mauricio Muñoz Chaithanya Kumar Mummadi J. H. Metzen AAML ViT 36 33 0 25 Mar 2022
Towards Practical Certifiable Patch Defense with Vision Transformer Zhaoyu Chen Yue Liu Jianghe Xu Shuang Wu Shouhong Ding Wenqiang Zhang AAML ViT 58 66 0 16 Mar 2022
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection Jiangjiang Liu Alexander Levine Chun Pong Lau Ramalingam Chellappa Soheil Feizi AAML 50 77 0 08 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 427 7,705 0 11 Nov 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 242 492 0 01 Oct 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World Xingxing Wei Yingjie Guo Jie Yu AAML 73 121 0 14 Apr 2021
A Real-time Defense against Website Fingerprinting Attacks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 36 19 0 08 Feb 2021
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks Christian Cosgrove Adam Kortylewski Chenglin Yang Alan Yuille AAML 42 4 0 01 Dec 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 39 92 0 05 May 2020
Minority Reports Defense: Defending Against Adversarial Patches Michael McCoyd Won Park Steven Chen Neil Shah Ryan Roggenkemper Minjune Hwang J. Liu David Wagner AAML 36 55 0 28 Apr 2020
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 111 264 0 31 Oct 2019
Role of Spatial Context in Adversarial Robustness for Object Detection Aniruddha Saha Akshayvarun Subramanya Koninika Patil Hamed Pirsiavash ObjD AAML 63 53 0 30 Sep 2019
Defending Against Physically Realizable Attacks on Image Classification Tong Wu Liang Tong Yevgeniy Vorobeychik AAML 69 126 0 20 Sep 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 130 2,028 0 08 Feb 2019
DPatch: An Adversarial Patch Attack on Object Detectors Xin Liu Huanrui Yang Ziwei Liu Linghao Song Hai Helen Li Yiran Chen AAML ObjD 57 293 0 05 Jun 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 70 1,094 0 27 Dec 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 131 2,147 0 21 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 269 12,029 0 19 Jun 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 226 8,548 0 16 Aug 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 239 14,893 1 21 Dec 2013