PrivBV: Distance-aware encoding for distributed data with local differential privacy

Recently, local differential privacy (LDP) has been used as the de facto standard for data sharing and analyzing with high-level privacy guarantees. Existing LDP-based mechanisms mainly focus on learning statistical information about the entire population from sensitive data. For the first time in the literature, we use LDP for distance estimation between distributed datato support more complicate...