Secure Deep Graph Generation with Link Differential Privacy

Secure Deep Graph Generation with Link Differential Privacy

1 May 2020

Lichao Sun

Papers citing "Secure Deep Graph Generation with Link Differential Privacy"

9 / 9 papers shown

Title
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy Sen Zhang Qingqing Ye Haibo Hu 54 0 0 08 Jan 2025
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation Xiaochen Zhu Vincent Y. F. Tan Xiaokui Xiao 29 9 0 06 Sep 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 44 9 0 10 Jul 2023
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy Yeqing Qiu Chenyu Huang Jianzong Wang Zhangcheng Huang Jing Xiao FedML 24 12 0 07 Jun 2022
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction Mingyue Tang Carl Yang Pan Li GNN AI4CE 46 55 0 18 Feb 2022
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 27 79 0 13 Sep 2021
Subgraph Federated Learning with Missing Neighbor Generation Ke Zhang Carl Yang Xiaoxiao Li Lichao Sun Siu-Ming Yiu FedML 30 164 0 25 Jun 2021
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 29 106 0 11 Sep 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,113 0 04 Nov 2016