Node-Level Differentially Private Graph Neural Networks

Node-Level Differentially Private Graph Neural Networks

23 November 2021

Ameya Daigavane

Abhradeep Thakurta

Gaurav Aggarwal

Papers citing "Node-Level Differentially Private Graph Neural Networks"

12 / 12 papers shown

Title
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 45 0 0 13 Mar 2025
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation Jianxin Wei Yizheng Zhu Xiaokui Xiao Ergute Bao Yin Yang Kuntai Cai Beng Chin Ooi AAML 19 0 0 06 Jul 2024
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 12 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 14 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 13 9 0 31 Aug 2023
Node Injection Link Stealing Attack Oualid Zari Javier Parra-Arnau Ayşe Ünsal Melek Önen 12 2 0 25 Jul 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
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 20 12 0 12 Jul 2023
Node-Differentially Private Estimation of the Number of Connected Components Iden Kalemaj Sofya Raskhodnikova Adam D. Smith Charalampos E. Tsourakakis 19 7 0 12 Apr 2023
Training Differentially Private Graph Neural Networks with Random Walk Sampling Morgane Ayle Jan Schuchardt Lukas Gosch Daniel Zügner Stephan Günnemann FedML 16 6 0 02 Jan 2023
Releasing Graph Neural Networks with Differential Privacy Guarantees Iyiola E. Olatunji Thorben Funke Megha Khosla 27 44 0 18 Sep 2021
Practical and Private (Deep) Learning without Sampling or Shuffling Peter Kairouz Brendan McMahan Shuang Song Om Thakkar Abhradeep Thakurta Zheng Xu FedML 167 154 0 26 Feb 2021