Unnoticeable Backdoor Attacks on Graph Neural Networks

11 February 2023

Papers citing "Unnoticeable Backdoor Attacks on Graph Neural Networks"

27 / 27 papers shown

Title
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations Jiate Li Meng Pang Yun Dong Binghui Wang AAML 67 0 0 24 Mar 2025
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks Jiazhu Dai Haoyu Sun AAML 73 0 0 19 Mar 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 43 0 0 12 Mar 2025
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Jiangtong Li Dungy Liu Dawei Cheng Changchun Jiang AAML 36 0 0 23 Dec 2024
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 33 1 0 17 Nov 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning Jirui Yang Peng Chen Zhihui Lu Ruijun Deng Qiang Duan Jianping Zeng AAML FedML 138 0 0 15 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
RIDA: A Robust Attack Framework on Incomplete Graphs Jianke Yu Hanchen Wang Chen Chen Xiaoyang Wang Wenjie Zhang Ying Zhang Ying Zhang Xijuan Liu GNN OOD AAML 41 1 0 25 Jul 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning Ying Song Rita Singh Balaji Palanisamy AAML 55 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 6 0 03 Jul 2024
On the Robustness of Graph Reduction Against GNN Backdoor Yuxuan Zhu Michael Mandulak Kerui Wu George Slota Yuseok Jeon Ka-Ho Chow Lei Yu AAML 30 1 0 02 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 30 1 0 15 Jun 2024
Cross-Context Backdoor Attacks against Graph Prompt Learning Xiaoting Lyu Yufei Han Wei Wang Hangwei Qian Ivor Tsang Xiangliang Zhang SILM AAML 46 15 0 28 May 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective Zhiwei Zhang Min Lin Enyan Dai Suhang Wang AAML 16 10 0 17 May 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
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
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 30 9 0 13 Dec 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 24 6 0 05 Oct 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks Haoran Liu Bokun Wang Jianling Wang Xiangjue Dong Tianbao Yang James Caverlee AAML 34 3 0 29 Aug 2023
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs Dongjin Lee Juho Lee Kijung Shin AAML 26 1 0 21 Aug 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
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy Enyan Dai Limeng Cui Zhengyang Wang Xianfeng Tang Yinghan Wang Mo Cheng Bin Yin Suhang Wang AAML 25 14 0 14 Jun 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 23 3 0 04 May 2023
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 31 132 0 18 Apr 2022
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 45 18 0 15 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 344 11,684 0 09 Mar 2017