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Arxiv
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AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model
- The skip-gram model (SGM) is a popular graph embedding technique.
- However, the parameters of a released SGM may encode private information and pose privacy risks.
- AdvSGM is a differentially private skip-gram for graphs via adversarial training.
- Extensive experimental results on real-world graph datasets show that AdvSGM preserves high data utility.
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