Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs

26 June 2019

Papers citing "Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs"

50 / 51 papers shown

Title
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 199 0 0 03 Oct 2024
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection Wei Li Pin-Yu Chen Sijia Liu Ren Wang AAML 49 3 0 09 Jun 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 46 6 0 28 May 2024
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm Yanqi Qiao Dazhuang Liu Rui Wang Kaitai Liang AAML 28 1 0 23 Feb 2024
On the Difficulty of Defending Contrastive Learning against Backdoor Attacks Changjiang Li Ren Pang Bochuan Cao Zhaohan Xi Jinghui Chen Shouling Ji Ting Wang AAML 40 6 0 14 Dec 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 32 9 0 08 Aug 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar Maziar Sanjabi Qifan Wang Sinong Wang Hamed Firooz Hamed Pirsiavash L Tan AAML 30 19 0 04 Apr 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 45 6 0 20 Jan 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 29 15 0 16 Jan 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition Hasan Hammoud Shuming Liu Mohammad Alkhrashi Fahad Albalawi Guohao Li AAML 38 8 0 03 Jan 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks Khondoker Murad Hossain Tim Oates AAML 34 4 0 15 Dec 2022
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning Marissa Connor Vincent Emanuele SILM AAML 33 1 0 05 Dec 2022
Dormant Neural Trojans Feisi Fu Panagiota Kiourti Wenchao Li AAML 30 0 0 02 Nov 2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection Di Tang Rui Zhu Xiaofeng Wang Haixu Tang Yi Chen AAML 24 5 0 12 Oct 2022
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe Yuhang Wang Huafeng Shi Rui Min Ruijia Wu Siyuan Liang Yichao Wu Ding Liang Aishan Liu AAML 45 7 0 12 Sep 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 26 7 0 18 Jun 2022
Backdoor Attacks on Vision Transformers Akshayvarun Subramanya Aniruddha Saha Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash ViT AAML 21 16 0 16 Jun 2022
Contributor-Aware Defenses Against Adversarial Backdoor Attacks Glenn Dawson Muhammad Umer R. Polikar AAML 33 0 0 28 May 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 136 97 0 26 May 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers Limin Yang Zhi Chen Jacopo Cortellazzi Feargus Pendlebury Kevin Tu Fabio Pierazzi Lorenzo Cavallaro Gang Wang AAML 26 36 0 11 Feb 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 24 28 0 25 Jan 2022
Backdoor Defense with Machine Unlearning Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 24 74 0 24 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 39 47 0 20 Jan 2022
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis Yu Feng Benteng Ma Jing Zhang Shanshan Zhao Yong-quan Xia Dacheng Tao AAML 49 84 0 02 Dec 2021
A General Framework for Defending Against Backdoor Attacks via Influence Graph Xiaofei Sun Jiwei Li Xiaoya Li Ziyao Wang Tianwei Zhang Han Qiu Fei Wu Chun Fan AAML TDI 24 5 0 29 Nov 2021
Backdoor Attack through Frequency Domain Tong Wang Yuan Yao Feng Xu Shengwei An Hanghang Tong Ting Wang AAML 24 33 0 22 Nov 2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo Ang Li Cong Liu AAML 67 74 0 28 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Bo-wen Li Xingjun Ma OnRL 31 322 0 22 Oct 2021
Trigger Hunting with a Topological Prior for Trojan Detection Xiaoling Hu Xiaoyu Lin Michael Cogswell Yi Yao Susmit Jha Chao Chen AAML 24 46 0 15 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 357 0 04 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 38 236 0 01 Aug 2021
Topological Detection of Trojaned Neural Networks Songzhu Zheng Yikai Zhang H. Wagner Mayank Goswami Chao Chen AAML 32 40 0 11 Jun 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution Fanchao Qi Yuan Yao Sophia Xu Zhiyuan Liu Maosong Sun SILM 33 126 0 11 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 46 9 0 05 Jun 2021
Backdoor Attacks on Self-Supervised Learning Aniruddha Saha Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL AAML 27 101 0 21 May 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 26 150 0 22 Apr 2021
Black-box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong Xiao Yang Zhijie Deng Tianyu Pang Zihao Xiao Hang Su Jun Zhu AAML 21 113 0 24 Mar 2021
A survey of deep neural network watermarking techniques Yue Li Hongxia Wang Mauro Barni 34 141 0 16 Mar 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry Yingqi Liu Guangyu Shen Guanhong Tao Zhenting Wang Shiqing Ma Xinming Zhang AAML 35 8 0 16 Mar 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization Guangyu Shen Yingqi Liu Guanhong Tao Shengwei An Qiuling Xu Shuyang Cheng Shiqing Ma Xinming Zhang AAML 42 117 0 09 Feb 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification Shuyang Cheng Yingqi Liu Shiqing Ma Xinming Zhang AAML 31 154 0 21 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 32 271 0 18 Dec 2020
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios Hassan Ali Surya Nepal S. Kanhere S. Jha AAML 27 12 0 14 Dec 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 33 14 0 04 Nov 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 36 148 0 31 Jul 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 34 26 0 28 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 221 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 590 0 17 Jul 2020