k-means clustering is a widely used clustering analysis technique in machine learning. In this article, we study the problem of differentially private k-means clustering. Several state-of-the-art methods follow the single-workload approach, which …
Graph data publishing under node-differential privacy (node-DP) is challenging due to the huge sensitivity of queries. However, since a node in graph data oftentimes represents a person, node-DP is necessary to achieve personal data protection. In …