Inference Attacks Against Graph Neural Networks

Inference Attacks Against Graph Neural Networks

6 October 2021

Michael Backes

Papers citing "Inference Attacks Against Graph Neural Networks"

8 / 8 papers shown

Title
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 23 6 0 12 Nov 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation Xiaochen Zhu Vincent Y. F. Tan Xiaokui Xiao 22 9 0 06 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 18 9 0 31 Aug 2023
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure Tamara T. Mueller Maulik Chevli Ameya Daigavane Daniel Rueckert Georgios Kaissis 25 0 0 13 Jul 2023
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models Mauro Conti Jiaxin Li S. Picek MIALM 28 2 0 28 Oct 2022
Privacy-Preserved Neural Graph Similarity Learning Yupeng Hou Wayne Xin Zhao Yaliang Li Ji-Rong Wen 25 1 0 21 Oct 2022
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 53 167 0 05 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020