隐私保护

  目前的研究主要聚焦于差分隐私保护技术,以及AI增强型数据管理方法。研究方向如下:

  +Pratical Query with Differential Privacy (top-k query, range count query, count query, etc.)

  +Data Publication with Differential Privacy (histogram, spatial data, streaming data, facial image data, set-value data, etc.)

  +Data Mining with Differential Privacy (frequent itemset mining, frquent graph pattern mining, etc.)

  +Data Collection and Analysis with Local Differential Privacy (frequency, mean, pdf, frequenct itemset mining, etc.)

  +Data Cleaning with Local Differential Privacy

  +Image Processing with Local Differential Privacy

  +Differentially Private Marchine Learning (regression analysis, svm,etc.)

  +AI-enhanced Data Management (Query optimizer, Fast index, Worklaod scheduling, etc.)