Mobile Data Collection and Analysis with Local Differential Privacy

Abstract

Local Differential Privacy (LDP), where each user perturbs her data locally before sending to an untrusted party, is a new and promising privacy-preserving model for mobile data collection and analysis. LDP has been deployed in many real products recently by several major software and Internet companies, including Google, Apple and Microsoft. This seminar talk first introduces the rationale of LDP model behind these deployed systems to collect and analyze usage data privately, then surveys the current research landscape in LDP, and finally identifies several open problems and research directions in this community.