Adversarial Neuron Pruning Purifies Backdoored Deep Models

27 October 2021

Papers citing "Adversarial Neuron Pruning Purifies Backdoored Deep Models"

34 / 184 papers shown

Title
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
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork Haotao Wang Junyuan Hong Aston Zhang Jiayu Zhou Zhangyang Wang AAML 44 12 0 12 Oct 2022
Invariant Aggregator for Defending against Federated Backdoor Attacks Xiaoya Wang Dimitrios Dimitriadis Oluwasanmi Koyejo Shruti Tople FedML 40 1 0 04 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li Yang Bai Yong Jiang Yong-Liang Yang Shutao Xia Bo Li AAML 50 98 0 27 Sep 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN Huy Phan Cong Shi Yi Xie Tian-Di Zhang Zhuohang Li Tianming Zhao Jian-Dong Liu Yan Wang Ying Chen Bo Yuan AAML 32 6 0 22 Aug 2022
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer Tong Wang Yuan Yao F. Xu Miao Xu Shengwei An Ting Wang AAML 14 2 0 13 Aug 2022
Data-free Backdoor Removal based on Channel Lipschitzness Runkai Zheng Rong Tang Jianze Li Li Liu AAML 21 104 0 05 Aug 2022
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation Tong Wu Tianhao Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML 42 37 0 22 Jul 2022
Backdoor Attacks on Crowd Counting Yuhua Sun Tailai Zhang Xingjun Ma Pan Zhou Jian Lou Zichuan Xu Xing Di Yu Cheng Lichao AAML 13 15 0 12 Jul 2022
One-shot Neural Backdoor Erasing via Adversarial Weight Masking Shuwen Chai Jinghui Chen AAML 30 33 0 10 Jul 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning Baoyuan Wu Hongrui Chen Mingda Zhang Zihao Zhu Shaokui Wei Danni Yuan Chaoxiao Shen ELM AAML 35 138 0 25 Jun 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 18 16 0 16 Jun 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 37 11 0 07 Jun 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen Zhenyu (Allen) Zhang Yihua Zhang Shiyu Chang Sijia Liu Zhangyang Wang AAML 46 25 0 24 May 2022
Imperceptible Backdoor Attack: From Input Space to Feature Representation Nan Zhong Zhenxing Qian Xinpeng Zhang AAML 17 52 0 06 May 2022
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Sebastiano Vascon Werner Zellinger Bernhard A. Moser Alina Oprea Battista Biggio Marcello Pelillo Fabio Roli AAML 22 116 0 04 May 2022
Revisiting a kNN-based Image Classification System with High-capacity Storage K. Nakata Youyang Ng Daisuke Miyashita A. Maki Yu Lin J. Deguchi 29 26 0 03 Apr 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 42 48 0 09 Mar 2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering Kien Do Haripriya Harikumar Hung Le D. Nguyen T. Tran Santu Rana Dang Nguyen Willy Susilo Svetha Venkatesh AAML 11 13 0 24 Feb 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks Yinghua Gao Dongxian Wu Jingfeng Zhang Guanhao Gan Shutao Xia Gang Niu Masashi Sugiyama AAML 32 22 0 22 Feb 2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning Jie Wang Ghulam Mubashar Hassan Naveed Akhtar AAML 31 24 0 15 Feb 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training Zhenting Wang Hailun Ding Juan Zhai Shiqing Ma AAML 21 45 0 13 Feb 2022
Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks Bingxu Mu Zhenxing Niu Le Wang Xue Wang Rong Jin G. Hua AAML 14 15 0 13 Feb 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense Guangyu Shen Yingqi Liu Guanhong Tao Qiuling Xu Zhuo Zhang Shengwei An Shiqing Ma Xinming Zhang AAML 18 33 0 11 Feb 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 20 36 0 11 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 16 25 0 10 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? Lue Tao Lei Feng Hongxin Wei Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 83 16 0 31 Jan 2022
Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li Haoxiang Zhong Xingjun Ma Yong Jiang Shutao Xia AAML 38 53 0 31 Jan 2022
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing Haibo Jin Ruoxi Chen Jinyin Chen Haibin Zheng Yang Zhang Haohan Wang AAML 26 1 0 24 Dec 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Bo-wen Li Xingjun Ma OnRL 31 321 0 22 Oct 2021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch Hossein Souri Liam H. Fowl Ramalingam Chellappa Micah Goldblum Tom Goldstein SILM 31 123 0 16 Jun 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 34 71 0 09 Feb 2021
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 586 0 17 Jul 2020