A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications

31 August 2023

Olivera Kotevska

Philip S. Yu

Hanyu Wang

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Papers citing "A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications"

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Title
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 98 3 0 20 Nov 2023
Fairness-Aware Graph Neural Networks: A Survey April Chen Ryan Rossi Namyong Park Puja Trivedi Yu Wang Tong Yu Sungchul Kim Franck Dernoncourt Nesreen K. Ahmed 60 9 0 08 Jul 2023
Towards Building the Federated GPT: Federated Instruction Tuning Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Yufan Zhou Guoyin Wang Yiran Chen ALM FedML 70 123 0 09 May 2023
Model Inversion Attacks against Graph Neural Networks Zaixin Zhang Qi Liu Zhenya Huang Hao Wang Cheekong Lee Enhong AAML 58 36 0 16 Sep 2022
Privacy and Transparency in Graph Machine Learning: A Unified Perspective Megha Khosla 48 4 0 22 Jul 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems Yu Wang Yuying Zhao Yi Zhang Hanyu Wang GNN 51 61 0 03 Jul 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Hanyu Wang 56 84 0 07 Jun 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 74 83 0 15 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 70 19 0 05 Feb 2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 67 45 0 23 Jan 2022
A Review on Graph Neural Network Methods in Financial Applications Jianian Wang Shenmin Zhang Yanghua Xiao Rui Song AI4TS 56 108 0 27 Nov 2021
Node-Level Differentially Private Graph Neural Networks Ameya Daigavane Gagan Madan Aditya Sinha Abhradeep Thakurta Gaurav Aggarwal Prateek Jain 56 57 0 23 Nov 2021
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 65 154 0 21 Nov 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 57 50 0 06 Oct 2021
Tree Decomposed Graph Neural Network Yu Wang Hanyu Wang 51 70 0 25 Aug 2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis Fan Wu Yunhui Long Ce Zhang Yue Liu AAML 65 96 0 14 Aug 2021
A Vertical Federated Learning Framework for Graph Convolutional Network Xiang Ni Xiaolong Xu Lingjuan Lyu Changhua Meng Weiqiang Wang FedML 52 36 0 22 Jun 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 54 233 0 11 Jun 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang Qi Liu Zhenya Huang Hao Wang Chengqiang Lu Chuanren Liu Enhong Chen 55 71 0 05 Jun 2021
A Comprehensive Survey on Community Detection with Deep Learning Xing Su Shan Xue Fanzhen Liu Hongzhi Zhang Jian Yang ... Cécile Paris Surya Nepal Di Jin Quan Z. Sheng Philip S. Yu GNN 49 332 0 26 May 2021
Federated Graph Learning -- A Position Paper Hu Zhang Tao Shen Leilei Gan Mingyang Yin Hongxia Yang Chao Wu FedML 67 52 0 24 May 2021
Graph Learning based Recommender Systems: A Review Shoujin Wang Liang Hu Yan Wang Xiangnan He Quan.Z Sheng M. Orgun LongBing Cao F. Ricci Philip S. Yu 78 201 0 13 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 62 57 0 07 May 2021
Membership Inference Attacks on Knowledge Graphs Yu Wang Lifu Huang Philip S. Yu Lichao Sun MIACV 45 15 0 16 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 109 431 0 14 Mar 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 63 101 0 17 Jan 2021
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 60 287 0 24 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 123 1,225 0 04 Nov 2020
Adversarial Privacy Preserving Graph Embedding against Inference Attack Kaiya Li Guangchun Luo Yang Ye Wei Li Shihao Ji Zhipeng Cai 26 53 0 30 Aug 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 224 819 0 16 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 69 220 0 15 Jul 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 77 545 0 03 Jul 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 155 643 0 18 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 81 295 0 15 Jun 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 64 137 0 25 Apr 2020
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 110 1,612 0 01 Nov 2019
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics Abeer Alshehri Chaochao Chen Shiwan Zhao Cen Chen Yuan Yao Guangyu Sun L. Sonenberg Xiaolu Zhang Jun Zhou BDL 44 21 0 05 Oct 2019
Overlapping Community Detection with Graph Neural Networks Oleksandr Shchur Stephan Günnemann GNN 54 130 0 26 Sep 2019
Local Differential Privacy: a tutorial Björn Bebensee 39 48 0 27 Jul 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations Xiang Yue Zhen Wang Jingong Huang Srinivasan Parthasarathy Soheil Moosavinasab Yungui Huang S. Lin Wen Zhang Ping Zhang Huan Sun GNN 47 326 0 12 Jun 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 96 530 0 29 Apr 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 128 1,319 0 10 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 717 8,517 0 03 Jan 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 69 280 0 26 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,511 0 20 Dec 2018
Privacy in Social Media: Identification, Mitigation and Applications Ghazaleh Beigi Huan Liu 77 72 0 07 Aug 2018
Algorithms that Remember: Model Inversion Attacks and Data Protection Law Michael Veale Reuben Binns L. Edwards 46 195 0 12 Jul 2018
Privacy Preserving Machine Learning: Threats and Solutions Mohammad Al-Rubaie Jerome Chang 49 336 0 27 Mar 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 443 20,089 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 466 15,218 0 07 Jun 2017