Graph embedding and privacy
Information leakage from graph embedding
- He2020stealing: Stealing Links from Graph Neural Networks, https://arxiv.org/abs/2005.02131
- Duddu2020privacy: Quantifying Privacy Leakage in Graph Embedding, https://arxiv.org/abs/2010.00906
See Song2020leakage for other information leakage from other types of embedding
Adversarial attack
- Bojchevski2019adversarial, Adversarial Attacks on Node Embeddings via Graph Poisoning, https://arxiv.org/abs/1809.01093
Differentially private solutions
- Xu2018dpne: DPNE: Differentially private network embedding
Fairness
- Bose2019compositional: Compositional fairness constraints for graph embeddings