Xiyang Liu

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models

2020 · arXiv (Cornell University)

Generative machine learning models are being increasingly viewed as a way to share sensitive data between institutions. While there has been work on developing differentially private generative modeling approaches, these approaches generally lead to sub-par …

CKAN

2020

Since it can effectively address the problem of sparsity and cold start of collaborative filtering, knowledge graph (KG) is widely studied and employed as side information in the field of recommender systems. However, most of …