Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics

ePrint Report: Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics

Dimitris Mouris, Christopher Patton, Hannah Davis, Pratik Sarkar, Nektarios Georgios Tsoutsos

Insight into user experience and behavior is critical to the success of large software systems and web services. Yet gaining such insights, while preserving user privacy, is a significant challenge. Recent advancements in multi-party computation have made it practical to compute verifiable aggregates over secret shared data. One important use case for these protocols is heavy hitters, where the servers …

challenge critical eprint report experience insight insights large metrics privacy private report services software software systems systems user experience user privacy web web services