隐私保护

  我们的研究主要聚焦于数据管理与数据分析过程中的带来的隐私问题。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