Explainability-based Backdoor Attacks Against Graph Neural Networks

8 April 2021

Papers citing "Explainability-based Backdoor Attacks Against Graph Neural Networks"

43 / 43 papers shown

Title
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks Xuewen Dong Jiachen Li Shujun Li Zhichao You Qiang Qu Yaroslav Kholodov Yulong Shen AAML 43 0 0 12 Mar 2025
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions Xiao Yang Gaolei Li Jianhua Li AAML AI4CE 51 1 0 08 Jan 2025
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks Hao Sui Bing Chen J. Zhang Chengcheng Zhu Di Wu Qinghua Lu Guodong Long AAML 31 1 0 18 Oct 2024
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models Xiao Yang Kai Zhou Y. Lai Gaolei Li AAML 36 0 0 07 Oct 2024
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning Jiale Zhang Chengcheng Zhu Bosen Rao Hao Sui Xiaobing Sun Bing Chen Chunyi Zhou Shouling Ji AAML 38 0 0 02 Oct 2024
Context is the Key: Backdoor Attacks for In-Context Learning with Vision Transformers Gorka Abad S. Picek Lorenzo Cavallaro A. Urbieta SILM 44 0 0 06 Sep 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 58 0 0 18 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 71 6 0 03 Jul 2024
E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks Dingqiang Yuan Xiaohua Xu Lei Yu Tongchang Han Rongchang Li Meng Han AAML 32 1 0 15 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 50 1 0 07 Jun 2024
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only Jiazhu Dai Haoyu Sun AAML 47 2 0 19 Apr 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
Effective backdoor attack on graph neural networks in link prediction tasks Jiazhu Dai Haoyu Sun GNN 61 3 0 05 Jan 2024
A clean-label graph backdoor attack method in node classification task Xiaogang Xing Ming Xu Yujing Bai Dongdong Yang AAML 91 7 0 30 Dec 2023
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 17 0 0 28 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 52 33 0 14 Dec 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 27 4 0 18 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 32 9 0 08 Aug 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon Cesare Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 44 143 0 07 Jul 2023
Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network F. Liu Siqi Lai Yansong Ning Hao Liu AAML FedML 29 3 0 17 Jun 2023
Rethinking the Trigger-injecting Position in Graph Backdoor Attack Jing Xu Gorka Abad S. Picek LLMSV SILM 27 6 0 05 Apr 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 27 20 0 26 Mar 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 63 5 0 03 Feb 2023
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis Lukas Struppek Dominik Hintersdorf Kristian Kersting SILM 22 36 0 04 Nov 2022
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs Haibin Zheng Haiyang Xiong Jinyin Chen Hao-Shang Ma Guohan Huang 47 28 0 25 Oct 2022
Defending Against Backdoor Attack on Graph Nerual Network by Explainability B. Jiang Zhao Li AAML GNN 64 16 0 07 Sep 2022
SoK: Explainable Machine Learning for Computer Security Applications A. Nadeem D. Vos Clinton Cao Luca Pajola Simon Dieck Robert Baumgartner S. Verwer 34 40 0 22 Aug 2022
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection Haibin Zheng Haiyang Xiong Hao-Shang Ma Guohan Huang Jinyin Chen 37 13 0 14 Aug 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Zhe Liu P. Zhao OOD 39 25 0 20 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack Jintang Li Bingzhe Wu Chengbin Hou Guoji Fu Yatao Bian Liang Chen Junzhou Huang Zibin Zheng OOD AAML 32 6 0 15 Feb 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 36 25 0 07 Feb 2022
Statically Detecting Adversarial Malware through Randomised Chaining Matthew Crawford Wei Wang Ruoxi Sun Minhui Xue AAML 26 1 0 28 Nov 2021
Dissecting Malware in the Wild H. Spencer Wei Wang Ruoxi Sun Minhui Xue 11 1 0 28 Nov 2021
Adversarial Attacks on Graph Classification via Bayesian Optimisation Xingchen Wan Henry Kenlay Binxin Ru Arno Blaas Michael A. Osborne Xiaowen Dong AAML 29 12 0 04 Nov 2021
Watermarking Graph Neural Networks based on Backdoor Attacks Jing Xu Stefanos Koffas Oguzhan Ersoy S. Picek AAML 14 28 0 21 Oct 2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction Jinyin Chen Haiyang Xiong Haibin Zheng Jian Zhang Guodong Jiang Yi Liu AAML SILM AI4CE 51 10 0 08 Oct 2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers Stefanos Koffas Jing Xu Mauro Conti S. Picek AAML 22 66 0 30 Jul 2021
EGC2: Enhanced Graph Classification with Easy Graph Compression Jinyin Chen Haiyang Xiong Haibin Zheng Dunjie Zhang Jian Zhang Mingwei Jia Yi Liu AAML 26 15 0 16 Jul 2021
Accumulative Poisoning Attacks on Real-time Data Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu 32 20 0 18 Jun 2021
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models Liuqiao Chen Hu Wang Benjamin Zi Hao Zhao Minhui Xue Hai-feng Qian PICV 19 4 0 23 Feb 2021
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Xingliang Yuan MIACV MLAU 55 53 0 24 Oct 2020
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models Jialin Wen Benjamin Zi Hao Zhao Minhui Xue Alina Oprea Hai-feng Qian AAML 8 19 0 21 Jun 2020