Model Stealing Attacks Against Inductive Graph Neural Networks

15 December 2021

Papers citing "Model Stealing Attacks Against Inductive Graph Neural Networks"

50 / 73 papers shown

Title
HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns Xinyue Shen Yixin Wu Y. Qu Michael Backes Savvas Zannettou Yang Zhang 115 7 0 28 Jan 2025
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 115 2 0 07 Jun 2024
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 75 50 0 06 Oct 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks Xinlei He Rui Wen Yixin Wu Michael Backes Yun Shen Yang Zhang 121 98 0 10 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 77 52 0 08 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 77 132 0 04 Feb 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 111 203 0 28 Jan 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 509 1,953 0 14 Dec 2020
Quantifying Privacy Leakage in Graph Embedding Vasisht Duddu A. Boutet Virat Shejwalkar MIACV 80 126 0 02 Oct 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 106 120 0 11 Sep 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 80 246 0 30 Jul 2020
Label-Only Membership Inference Attacks Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 98 516 0 28 Jul 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 97 416 0 21 Jun 2020
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 55 171 0 21 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 83 217 0 19 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 64 121 0 09 Jun 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 133 136 0 10 Mar 2020
A Survey of Adversarial Learning on Graphs Liang Chen Jintang Li Jiaying Peng Tao Xie Zengxu Cao Kun Xu Xiangnan He Zibin Zheng Bingzhe Wu AAML 72 85 0 10 Mar 2020
Adversarial Attacks and Defenses on Graphs: A Review, A Tool and Empirical Studies Wei Jin Yaxin Li Han Xu Yiqi Wang Shuiwang Ji Charu C. Aggarwal Jiliang Tang AAML GNN 82 103 0 02 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 76 45 0 27 Feb 2020
Adversarial Model Extraction on Graph Neural Networks David DeFazio Arti Ramesh AAML MLAU 50 21 0 16 Dec 2019
GraphDefense: Towards Robust Graph Convolutional Networks Xiaoyun Wang Xuanqing Liu Cho-Jui Hsieh OOD AAML GNN 73 31 0 11 Nov 2019
Certifiable Robustness to Graph Perturbations Aleksandar Bojchevski Stephan Günnemann AAML 81 125 0 31 Oct 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs Kalpesh Krishna Gaurav Singh Tomar Ankur P. Parikh Nicolas Papernot Mohit Iyyer MIACV MLAU 114 201 0 27 Oct 2019
GraphSAC: Detecting anomalies in large-scale graphs V. Ioannidis Dimitris Berberidis G. Giannakis 50 29 0 21 Oct 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 76 394 0 23 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 72 678 0 17 Sep 2019
High Accuracy and High Fidelity Extraction of Neural Networks Matthew Jagielski Nicholas Carlini David Berthelot Alexey Kurakin Nicolas Papernot MLAU MIACV 81 381 0 03 Sep 2019
Adversarial Training Methods for Network Embedding Quanyu Dai X. Shen Liang Zhang Qiang Li Dan Wang GAN 60 104 0 30 Aug 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Hervé Jégou MIACV 76 368 0 29 Aug 2019
Certifiable Robustness and Robust Training for Graph Convolutional Networks Daniel Zügner Stephan Günnemann OffRL 74 162 0 28 Jun 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective Kaidi Xu Hongge Chen Sijia Liu Pin-Yu Chen Tsui-Wei Weng Mingyi Hong Xue Lin AAML 55 452 0 10 Jun 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 118 1,416 0 29 May 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 186 1,128 0 17 Apr 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 61 24 0 28 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 79 63 0 25 Feb 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning Daniel Zügner Stephan Günnemann OOD AAML GNN 130 573 0 22 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 95 220 0 20 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 78 2,322 0 13 Feb 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 788 8,579 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 74 283 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 5,534 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 154 1,337 0 11 Dec 2018
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 108 537 0 06 Dec 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,365 0 14 Nov 2018
Data Poisoning Attack against Unsupervised Node Embedding Methods Mingjie Sun Jian Tang Huichen Li Yue Liu Chaowei Xiao Yao-Liang Chen Basel Alomair GNN AAML 36 67 0 30 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 257 7,705 0 01 Oct 2018
Adversarial Attacks on Node Embeddings via Graph Poisoning Aleksandar Bojchevski Stephan Günnemann AAML 65 307 0 04 Sep 2018
Attention Models in Graphs: A Survey J. B. Lee Ryan A. Rossi Sungchul Kim Nesreen K. Ahmed Eunyee Koh GNN 62 164 0 20 Jul 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 310 2,155 0 22 Jun 2018