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Graph Transductive Defense: a Two-Stage Defense for Graph Membership
  Inference Attacks

Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks

12 June 2024
Peizhi Niu
Chao Pan
Siheng Chen
Olgica Milenkovic
    AAML
ArXivPDFHTML

Papers citing "Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks"

7 / 7 papers shown
Title
LiGNN: Graph Neural Networks at LinkedIn
LiGNN: Graph Neural Networks at LinkedIn
Fedor Borisyuk
Shihai He
Yunbo Ouyang
Morteza Ramezani
Peng Du
...
David Stein
Baolei Li
Haichao Wei
Amol Ghoting
Souvik Ghosh
GNN
30
11
0
17 Feb 2024
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
36
98
0
16 May 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
134
130
0
29 Oct 2021
Membership Inference Attack on Graph Neural Networks
Membership Inference Attack on Graph Neural Networks
Iyiola E. Olatunji
Wolfgang Nejdl
Megha Khosla
AAML
31
96
0
17 Jan 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
168
283
0
24 Mar 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
139
828
0
28 Sep 2019
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
98
131
0
23 Jul 2018
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