Differential privacy in data publication and analysis

Data privacy has been an important research topic in the security, theory and database communities in the last few decades. However, many existing studies have restrictive assumptions regarding the adversary’s prior knowledge, meaning that they preserve individuals’ privacy only when the adversary has rather limited background information about the sensitive data, or only uses certain kinds of attacks. Recently, differential privacy has emerged as a new paradigm for privacy protection with very conservative assumptions about the adversary’s prior knowledge. Since its proposal, differential privacy had been gaining attention in many fields of computer science, and is considered among the most promising paradigms for privacy-preserving data publication and

• Type: Journal
• Year: 2012
• Where: SIGMOD
• Authors: Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne Winslett, Xiaokui Xiao
• Keywords: Conservative Assumptions, Database, Restrictive Assumptions, Security Theory, SIGMOD 2012