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Information Obfuscation of Graph Neural Networks

Information Obfuscation of Graph Neural Networks

28 September 2020
Peiyuan Liao
Han Zhao
Keyulu Xu
Tommi Jaakkola
Geoffrey J. Gordon
Stefanie Jegelka
Ruslan Salakhutdinov
    AAML
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Papers citing "Information Obfuscation of Graph Neural Networks"

9 / 9 papers shown
Title
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
36
35
0
07 Mar 2024
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
Shaswata Mitra
Trisha Chakraborty
Subash Neupane
Aritran Piplai
Sudip Mittal
AAML
42
3
0
11 Jan 2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
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
26
10
0
31 Aug 2023
Privacy-Preserved Neural Graph Similarity Learning
Privacy-Preserved Neural Graph Similarity Learning
Yupeng Hou
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
25
1
0
21 Oct 2022
Large-Scale Privacy-Preserving Network Embedding against Private Link
  Inference Attacks
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks
Xiao Han
Leye Wang
Junjie Wu
Yuncong Yang
18
4
0
28 May 2022
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
45
104
0
16 May 2022
Differentially Private Graph Classification with GNNs
Differentially Private Graph Classification with GNNs
Tamara T. Mueller
Johannes C. Paetzold
Chinmay Prabhakar
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
42
18
0
05 Feb 2022
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
172
1,775
0
02 Mar 2017
1