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Differentially Private Decoupled Graph Convolutions for Multigranular
  Topology Protection

Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection

12 July 2023
Eli Chien
Wei-Ning Chen
Chao Pan
Pan Li
Ayfer Özgür
O. Milenkovic
ArXivPDFHTML

Papers citing "Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection"

12 / 12 papers shown
Title
Privately Learning from Graphs with Applications in Fine-tuning Large
  Language Models
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
Haoteng Yin
Rongzhe Wei
Eli Chien
P. Li
23
0
0
10 Oct 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi
Zhewei Wei
MU
40
1
0
17 Aug 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
Rongzhe Wei
Eli Chien
P. Li
22
5
0
22 Jun 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership
  Inference Attacks
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks
Peizhi Niu
Chao Pan
Siheng Chen
Olgica Milenkovic
AAML
18
0
0
12 Jun 2024
Safety in Graph Machine Learning: Threats and Safeguards
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh V. Chawla
Jundong Li
30
7
0
17 May 2024
On provable privacy vulnerabilities of graph representations
On provable privacy vulnerabilities of graph representations
Ruofan Wu
Guanhua Fang
Qiying Pan
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AAML
8
0
0
06 Feb 2024
A Survey of Graph Unlearning
A Survey of Graph Unlearning
Anwar Said
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
8
7
0
23 Aug 2023
DPAR: Decoupled Graph Neural Networks with Node-Level Differential
  Privacy
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
Qiuchen Zhang
Hong kyu Lee
Jing Ma
Jian Lou
Carl Yang
Li Xiong
20
10
0
10 Oct 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
131
268
0
25 Sep 2021
Releasing Graph Neural Networks with Differential Privacy Guarantees
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
24
44
0
18 Sep 2021
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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