Steered Microaggregation as a Unified Primitive to Anonymize Data Sets and Data Streams.

IEEE Transactions on Information Forensics and Security(2019)

引用 20|浏览8
暂无评分
摘要
As data grow in quantity and complexity, data anonymization is becoming increasingly challenging. On one side, a great diversity of masking methods, synthetic data generation methods, and privacy models exists, and this diversity is often perceived as unsettling by practitioners. On the other side, most of the anonymization methodology was designed for static, structured, and small data, whereas t...
更多
查看译文
关键词
Clustering algorithms,Data models,Differential privacy,Big Data,Privacy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要