Minority Reports Defense: Defending Against Adversarial Patches

28 April 2020

Papers citing "Minority Reports Defense: Defending Against Adversarial Patches"

32 / 32 papers shown

Title
Certifiably Robust RAG against Retrieval Corruption Chong Xiang Tong Wu Zexuan Zhong David Wagner Danqi Chen Prateek Mittal SILM 25 41 0 24 May 2024
CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models Qili Zhou Zhengyuan Wei Haipeng Wang Bo Jiang William Chan AAML 37 1 0 13 May 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning Shuyang Cheng Guanhong Tao Yingqi Liu Guangyu Shen Shengwei An Shiwei Feng Xiangzhe Xu Kaiyuan Zhang Shiqing Ma Xiangyu Zhang AAML 32 3 0 25 Mar 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift Shengwei An Sheng-Yen Chou Kaiyuan Zhang Qiuling Xu Guanhong Tao ... Shuyang Cheng Shiqing Ma Pin-Yu Chen Tsung-Yi Ho Xiangyu Zhang DiffM AAML 23 28 0 27 Nov 2023
Assist Is Just as Important as the Goal: Image Resurfacing to Aid Model's Robust Prediction Abhijith Sharma Phil Munz Apurva Narayan AAML 14 0 0 02 Nov 2023
Adversarial Examples in the Physical World: A Survey Jiakai Wang Xianglong Liu Jin Hu Donghua Wang Siyang Wu Tingsong Jiang Wenbiao Yao Aishan Liu Aishan Liu Jiantao Zhou AAML 36 4 0 01 Nov 2023
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow Erik Scheurer Jenny Schmalfuss Alexander Lis Andrés Bruhn AAML 21 6 0 26 Oct 2023
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses Chong Xiang Tong Wu Sihui Dai Jonathan Petit Suman Jana Prateek Mittal 49 2 0 19 Oct 2023
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification Yizhen Yuan Rui Kong Shenghao Xie Yuanchun Li Yunxin Liu 13 7 0 22 Aug 2023
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models Qili Zhou Zhengyuan Wei Haipeng Wang William Chan AAML 21 0 0 01 Aug 2023
Detecting Backdoors in Pre-trained Encoders Shiwei Feng Guanhong Tao Shuyang Cheng Guangyu Shen Xiangzhe Xu Yingqi Liu Kaiyuan Zhang Shiqing Ma Xiangyu Zhang 76 47 0 23 Mar 2023
Agnostic Multi-Robust Learning Using ERM Saba Ahmadi Avrim Blum Omar Montasser Kevin Stangl AAML OOD 36 0 0 15 Mar 2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense Shuyang Cheng Guanhong Tao Yingqi Liu Shengwei An Xiangzhe Xu ... Guangyu Shen Kaiyuan Zhang Qiuling Xu Shiqing Ma Xiangyu Zhang AAML 16 14 0 16 Jan 2023
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David A. Wagner AAML 31 14 0 12 Dec 2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models Guanhong Tao Zhenting Wang Shuyang Cheng Shiqing Ma Shengwei An Yingqi Liu Guangyu Shen Zhuo Zhang Yunshu Mao Xiangyu Zhang SILM 17 17 0 29 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A Survey Xingxing Wei Bangzheng Pu Jiefan Lu Baoyuan Wu AAML 22 10 0 03 Nov 2022
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 50 17 0 13 Sep 2022
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks Husheng Han Xingui Hu Kaidi Xu Pucheng Dang Ying Wang Yongwei Zhao Zidong Du Qi Guo Yanzhi Yang Tianshi Chen AAML 27 2 0 19 Aug 2022
DECK: Model Hardening for Defending Pervasive Backdoors Guanhong Tao Yingqi Liu Shuyang Cheng Shengwei An Zhuo Zhang Qiuling Xu Guangyu Shen Xiangyu Zhang AAML 20 7 0 18 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 19 20 0 16 Jun 2022
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame Youngjoon Yu Hong Joo Lee Hakmin Lee Yong Man Ro AAML 16 10 0 27 Apr 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking Chong Xiang Alexander Valtchanov Saeed Mahloujifar Prateek Mittal AAML 8 21 0 03 Feb 2022
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection Jiangjiang Liu Alexander Levine Chun Pong Lau Ramalingam Chellappa S. Feizi AAML 24 76 0 08 Dec 2021
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers Husheng Han Kaidi Xu Xing Hu Xiaobing Chen Ling Liang Zidong Du Qi Guo Yanzhi Wang Yunji Chen AAML 9 19 0 27 Oct 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier Chong Xiang Saeed Mahloujifar Prateek Mittal VLM AAML 24 73 0 20 Aug 2021
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks Zitao Chen Pritam Dash Karthik Pattabiraman AAML 16 18 0 11 Aug 2021
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches Chong Xiang Prateek Mittal AAML 33 42 0 26 Apr 2021
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches Nan Ji YanFei Feng Haidong Xie Xueshuang Xiang Naijin Liu AAML 50 33 0 16 Mar 2021
A Real-time Defense against Website Fingerprinting Attacks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 14 19 0 08 Feb 2021
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks Chong Xiang Prateek Mittal AAML 21 52 0 05 Feb 2021
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking Chong Xiang A. Bhagoji Vikash Sehwag Prateek Mittal AAML 22 29 0 17 May 2020
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 47 45 0 17 Feb 2018