Graph Backdoor

21 June 2020

Papers citing "Graph Backdoor"

38 / 38 papers shown

Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain Brian Choi Shu Wang Isabelle Choi Kun Sun 46 0 0 08 May 2025
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 38 0 0 12 Mar 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 95 1 0 03 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
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 129 0 0 15 Oct 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 52 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 69 5 0 03 Jul 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
Link Stealing Attacks Against Inductive Graph Neural Networks Yixin Wu Xinlei He Pascal Berrang Mathias Humbert Michael Backes Neil Zhenqiang Gong Yang Zhang 34 2 0 09 May 2024
Effective backdoor attack on graph neural networks in link prediction tasks Jiazhu Dai Haoyu Sun GNN 59 3 0 05 Jan 2024
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger Yiming Li Mingyan Zhu Junfeng Guo Tao Wei Shu-Tao Xia Zhan Qin AAML 66 1 0 03 Dec 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 26 9 0 08 Aug 2023
Graph Neural Networks for Hardware Vulnerability Analysis -- Can you Trust your GNN? Lilas Alrahis Ozgur Sinanoglu 23 2 0 29 Mar 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 34 27 0 03 Jan 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification Yulin Zhu Liang Tong Gaolei Li Xiapu Luo Kai Zhou 33 4 0 25 Oct 2022
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs Haibin Zheng Haiyang Xiong Jinyin Chen Hao-Shang Ma Guohan Huang 39 28 0 25 Oct 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe D. Ranasinghe S. Kanhere AAML 34 36 0 21 Jun 2022
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences Shang Wang Yansong Gao Anmin Fu Zhi-Li Zhang Yuqing Zhang W. Susilo Dongxi Liu AAML 29 10 0 31 May 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 30 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
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 39 23 0 25 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 31 25 0 07 Feb 2022
Neighboring Backdoor Attacks on Graph Convolutional Network Liang Chen Qibiao Peng Jintang Li Yang Liu Jiawei Chen Yong Li Zibin Zheng GNN AAML 32 11 0 17 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 16 60 0 15 Dec 2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning Su Wang Zhiliang Wang Tao Zhou Xia Yin Dongqi Han Han Zhang Hongbin Sun Xingang Shi Jiahai Yang 24 69 0 08 Nov 2021
Backdoor Pre-trained Models Can Transfer to All Lujia Shen S. Ji Xuhong Zhang Jinfeng Li Jing Chen Jie Shi Chengfang Fang Jianwei Yin Ting Wang AAML SILM 31 117 0 30 Oct 2021
Dyn-Backdoor: Backdoor Attack on Dynamic Link Prediction Jinyin Chen Haiyang Xiong Haibin Zheng Jian Andrew Zhang Guodong Jiang Yi Liu AAML SILM AI4CE 43 10 0 08 Oct 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 21 33 0 21 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 24 151 0 01 Aug 2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers Stefanos Koffas Jing Xu Mauro Conti S. Picek AAML 17 66 0 30 Jul 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 20 74 0 08 Apr 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 X. Zhang AAML 22 8 0 16 Mar 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 36 14 0 18 Jan 2021
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 836 0 28 Sep 2019
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 134 186 0 02 Dec 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 0 13 Jun 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016