Privacy and Transparency in Graph Machine Learning: A Unified Perspective

22 July 2022

Papers citing "Privacy and Transparency in Graph Machine Learning: A Unified Perspective"

5 / 5 papers shown

Title
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
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 20 14 0 28 Jun 2022
Releasing Graph Neural Networks with Differential Privacy Guarantees Iyiola E. Olatunji Thorben Funke Megha Khosla 27 44 0 18 Sep 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 34 96 0 17 Jan 2021
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 53 164 0 05 May 2020