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LPGNet: Link Private Graph Networks for Node Classification

LPGNet: Link Private Graph Networks for Node Classification

6 May 2022
Aashish Kolluri
Teodora Baluta
Bryan Hooi
Prateek Saxena
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Papers citing "LPGNet: Link Private Graph Networks for Node Classification"

14 / 14 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
64
0
0
12 Mar 2025
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation
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
27
0
0
06 Jul 2024
Delving into Differentially Private Transformer
Delving into Differentially Private Transformer
Youlong Ding
Xueyang Wu
Yining Meng
Yonggang Luo
Hao Wang
Weike Pan
29
5
0
28 May 2024
Edge Private Graph Neural Networks with Singular Value Perturbation
Edge Private Graph Neural Networks with Singular Value Perturbation
Tingting Tang
Yue Niu
A. Avestimehr
Murali Annavaram
AAML
24
1
0
16 Mar 2024
Preserving Node-level Privacy in Graph Neural Networks
Preserving Node-level Privacy in Graph Neural Networks
Zihang Xiang
Tianhao Wang
Di Wang
23
6
0
12 Nov 2023
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph
  Neural Network Approach
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
Wentao Hu
Hui Fang
25
3
0
17 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via
  Bayesian Estimation
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
ProGAP: Progressive Graph Neural Networks with Differential Privacy
  Guarantees
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Sina Sajadmanesh
D. Gática-Pérez
17
15
0
18 Apr 2023
Scalable Neural Network Training over Distributed Graphs
Scalable Neural Network Training over Distributed Graphs
Aashish Kolluri
Sarthak Choudhary
Bryan Hooi
Prateek Saxena
GNN
16
0
0
25 Feb 2023
Revisiting Hyperparameter Tuning with Differential Privacy
Revisiting Hyperparameter Tuning with Differential Privacy
Youlong Ding
Xueyang Wu
8
0
0
03 Nov 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,600
0
04 May 2021
Stealing Links from Graph Neural Networks
Stealing Links from Graph Neural Networks
Xinlei He
Jinyuan Jia
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
AAML
58
168
0
05 May 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,077
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
833
0
28 Sep 2019
1