Blink: Link Local Differential Privacy in Graph Neural Networks via
Bayesian Estimation

Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation

6 September 2023

Vincent Y. F. Tan

Papers citing "Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation"

8 / 8 papers shown

Title
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks? Mir Imtiaz Mostafiz Imtiaz Karim Elisa Bertino AAML 61 0 0 12 Mar 2025
Scalable Neural Network Training over Distributed Graphs Aashish Kolluri Sarthak Choudhary Bryan Hooi Prateek Saxena GNN 10 0 0 25 Feb 2023
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 25 43 0 23 Jan 2022
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 117 118 0 07 Oct 2021
Locally Differentially Private Analysis of Graph Statistics Jacob Imola Takao Murakami Kamalika Chaudhuri 67 91 0 17 Oct 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 53 164 0 05 May 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 828 0 28 Sep 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016