Cuiping Li

Local Differential Privacy with K-anonymous for Frequency Estimation

2019

Data release, such as statistics of data distribution, in many data analysis and machine learning tasks is needed, which poses significant risks of user's privacy. Usually, to preserve privacy of every individual, frequency estimation based …

Oracle-guided Contrastive Clustering

2022 · arXiv (Cornell University)

Deep clustering aims to learn a clustering representation through deep architectures. Most of the existing methods usually conduct clustering with the unique goal of maximizing clustering performance, that ignores the personalized demand of clustering tasks.% …