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Privacy-Preserving Graph Convolutional Networks for Text Classification

Privacy-Preserving Graph Convolutional Networks for Text Classification

10 February 2021
Timour Igamberdiev
Ivan Habernal
    GNN
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Papers citing "Privacy-Preserving Graph Convolutional Networks for Text Classification"

5 / 5 papers shown
Title
DP-NMT: Scalable Differentially-Private Machine Translation
DP-NMT: Scalable Differentially-Private Machine Translation
Timour Igamberdiev
Doan Nam Long Vu
Felix Künnecke
Zhuo Yu
Jannik Holmer
Ivan Habernal
27
7
0
24 Nov 2023
Differentially Private Natural Language Models: Recent Advances and
  Future Directions
Differentially Private Natural Language Models: Recent Advances and Future Directions
Lijie Hu
Ivan Habernal
Lei Shen
Di Wang
AAML
13
18
0
22 Jan 2023
Training Differentially Private Graph Neural Networks with Random Walk
  Sampling
Training Differentially Private Graph Neural Networks with Random Walk Sampling
Morgane Ayle
Jan Schuchardt
Lukas Gosch
Daniel Zügner
Stephan Günnemann
FedML
21
6
0
02 Jan 2023
DP-Rewrite: Towards Reproducibility and Transparency in Differentially
  Private Text Rewriting
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting
Timour Igamberdiev
Thomas Arnold
Ivan Habernal
19
19
0
22 Aug 2022
Releasing Graph Neural Networks with Differential Privacy Guarantees
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
27
44
0
18 Sep 2021
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