Group Property Inference Attacks Against Graph Neural Networks

2 September 2022

Papers citing "Group Property Inference Attacks Against Graph Neural Networks"

24 / 24 papers shown

Title
Property Inference Attacks Against GANs Junhao Zhou Yufei Chen Chao Shen Yang Zhang AAML MIACV 74 52 0 15 Nov 2021
Formalizing and Estimating Distribution Inference Risks Anshuman Suri David Evans MIACV 63 52 0 13 Sep 2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis Fan Wu Yunhui Long Ce Zhang Yue Liu AAML 67 97 0 14 Aug 2021
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 65 36 0 14 May 2021
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity Mathias Parisot Balázs Pejó Dayana Spagnuelo MIACV 112 33 0 27 Apr 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks Xinlei He Rui Wen Yixin Wu Michael Backes Yun Shen Yang Zhang 103 97 0 10 Feb 2021
Property Inference From Poisoning Melissa Chase Esha Ghosh Saeed Mahloujifar MIACV 67 80 0 26 Jan 2021
Quantifying Privacy Leakage in Graph Embedding Vasisht Duddu A. Boutet Virat Shejwalkar MIACV 65 124 0 02 Oct 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 94 206 0 03 Jun 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 48 270 0 31 Mar 2020
Eavesdrop the Composition Proportion of Training Labels in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 62 63 0 14 Oct 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 121 494 0 12 Jun 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 64 259 0 25 May 2019
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 76 786 0 03 Dec 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 185 415 0 20 Oct 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 45 470 0 16 Jul 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 140 1,472 0 10 May 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 461 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 482 15,218 0 07 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 187 2,882 0 14 Mar 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 235 4,120 0 18 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 604 29,032 0 09 Sep 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 196 6,113 0 01 Jul 2016
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers G. Ateniese G. Felici L. Mancini A. Spognardi Antonio Villani Domenico Vitali 72 460 0 19 Jun 2013