Spectral Signatures in Backdoor Attacks

1 November 2018

Papers citing "Spectral Signatures in Backdoor Attacks"

50 / 249 papers shown

Title
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 118 26 0 19 Apr 2022
Planting Undetectable Backdoors in Machine Learning Models S. Goldwasser Michael P. Kim Vinod Vaikuntanathan Or Zamir AAML 54 73 0 14 Apr 2022
Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures Huming Qiu Hua Ma Zhi-Li Zhang A. Abuadbba Wei Kang Anmin Fu Yansong Gao ELM AAML 81 16 0 13 Apr 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 121 123 0 31 Mar 2022
Differentially Private Label Protection in Split Learning Xin Yang Jiankai Sun Yuanshun Yao Junyuan Xie Chong-Jun Wang FedML 103 36 0 04 Mar 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Chong-Jun Wang FedML 115 38 0 02 Mar 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 100 16 0 15 Feb 2022
A Survey of Neural Trojan Attacks and Defenses in Deep Learning Jie Wang Ghulam Mubashar Hassan Naveed Akhtar AAML 74 26 0 15 Feb 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training Zhenting Wang Hailun Ding Juan Zhai Shiqing Ma AAML 63 46 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 44 16 0 13 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 109 37 0 11 Feb 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 71 194 0 05 Feb 2022
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks Muhammad Usman Youcheng Sun D. Gopinath C. Păsăreanu AAML 24 1 0 31 Jan 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 99 7 0 28 Jan 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 110 29 0 25 Jan 2022
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models Siddhartha Datta N. Shadbolt SILM AAML AI4CE 61 2 0 24 Jan 2022
Backdoor Defense with Machine Unlearning Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 83 79 0 24 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 79 12 0 21 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 83 47 0 20 Jan 2022
Neighboring Backdoor Attacks on Graph Convolutional Network Liang Chen Qibiao Peng Jintang Li Yang Liu Jiawei Chen Yong Li Zibin Zheng GNN AAML 78 11 0 17 Jan 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning Xingyu Li Zhe Qu Shangqing Zhao Bo Tang Zhuo Lu Yao-Hong Liu AAML 102 96 0 08 Jan 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 102 9 0 19 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 106 84 0 09 Dec 2021
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks Xi Li Zhen Xiang David J. Miller G. Kesidis AAML 428 13 0 06 Dec 2021
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks Jing Lin Long Dang Mohamed Rahouti Kaiqi Xiong AAML 72 48 0 06 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 122 44 0 01 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 Leilei Gan Chun Fan AAML TDI 74 5 0 29 Nov 2021
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 93 60 0 25 Nov 2021
Backdoor Attack through Frequency Domain Tong Wang Yuan Yao Feng Xu Shengwei An Hanghang Tong Ting Wang AAML 81 35 0 22 Nov 2021
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences Wei Guo B. Tondi Mauro Barni AAML 110 69 0 16 Nov 2021
Enhancing Backdoor Attacks with Multi-Level MMD Regularization Pengfei Xia Hongjing Niu Ziqiang Li Bin Li AAML 78 31 0 09 Nov 2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo Ang Li Cong Liu AAML 163 76 0 28 Oct 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 117 290 0 27 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Xingjun Ma OnRL 108 338 0 22 Oct 2021
Detecting Backdoor Attacks Against Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 89 15 0 20 Oct 2021
Trigger Hunting with a Topological Prior for Trojan Detection Xiaoling Hu Xiaoyu Lin Michael Cogswell Yi Yao Susmit Jha Chao Chen AAML 58 46 0 15 Oct 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 165 51 0 13 Oct 2021
Widen The Backdoor To Let More Attackers In Siddhartha Datta Giulio Lovisotto Ivan Martinovic N. Shadbolt AAML 58 3 0 09 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 151 178 0 07 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 89 14 0 12 Sep 2021
Excess Capacity and Backdoor Poisoning N. Manoj Avrim Blum SILM AAML 83 24 0 02 Sep 2021
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis Esha Sarkar Michail Maniatakos 98 3 0 14 Aug 2021
On the Effect of Pruning on Adversarial Robustness Artur Jordão Hélio Pedrini AAML 111 23 0 10 Aug 2021
Poison Ink: Robust and Invisible Backdoor Attack Jie Zhang Dongdong Chen Qidong Huang Jing Liao Weiming Zhang Huamin Feng G. Hua Nenghai Yu AAML 64 90 0 05 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 125 159 0 01 Aug 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 86 8 0 22 Jul 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 109 130 0 16 Jun 2021
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers C. Ashcraft Kiran Karra 57 28 0 14 Jun 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution Fanchao Qi Yuan Yao Sophia Xu Zhiyuan Liu Maosong Sun SILM 75 132 0 11 Jun 2021