Quantifying Privacy Leakage in Graph Embedding

2 October 2020

Papers citing "Quantifying Privacy Leakage in Graph Embedding"

33 / 33 papers shown

Title
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 194 1 0 28 Jan 2025
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 77 1 0 17 Nov 2024
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 33 266 0 31 Mar 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 296 367 0 24 Mar 2020
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks Claude Rosin Ngueveu A. Boutet Carole Frindel Sébastien Gambs T. Jourdan Claude Rosin Ngueveu 47 27 0 23 Mar 2020
Quantifying (Hyper) Parameter Leakage in Machine Learning Vasisht Duddu D. V. Rao AAML MIACV FedML 50 5 0 31 Oct 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 60 386 0 23 Sep 2019
Certifiable Robustness and Robust Training for Graph Convolutional Networks Daniel Zügner Stephan Günnemann OffRL 70 162 0 28 Jun 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 33 150 0 28 May 2019
dpUGC: Learn Differentially Private Representation for User Generated Contents Xuan-Son Vu Son N. Tran Lili Jiang 15 14 0 25 Mar 2019
Stealing Neural Networks via Timing Side Channels Vasisht Duddu D. Samanta D. V. Rao V. Balas AAML MLAU FedML 51 134 0 31 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 723 5,457 0 20 Dec 2018
Adversarial Attacks on Node Embeddings via Graph Poisoning Aleksandar Bojchevski Stephan Günnemann AAML 59 303 0 04 Sep 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 43 468 0 16 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 76 935 0 04 Jun 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 131 1,060 0 21 May 2018
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning Jinyuan Jia Neil Zhenqiang Gong AAML 45 162 0 13 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 134 1,461 0 10 May 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 116 1,128 0 22 Feb 2018
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 134 462 0 14 Feb 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 176 2,796 0 22 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 388 19,991 0 30 Oct 2017
Topology Adaptive Graph Convolutional Networks Jian Du Shanghang Zhang Guanhang Wu José M. F. Moura S. Kar GNN 62 302 0 28 Oct 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 60 511 0 22 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 95 1,786 0 22 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 431 15,066 0 07 Jun 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 221 4,075 0 18 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 540 28,901 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 172 10,825 0 03 Jul 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 175 6,069 0 01 Jul 2016
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 243 9,735 0 26 Mar 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 325 33,445 0 16 Oct 2013
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 69 458 0 19 Jun 2013