Lapets, AndreiDunton, EricHolzinger, KyleJansen, FrederickBestavros, Azer2017-04-262017-04-262015-08-15Lapets, Andrei; Dunton, Eric; Holzinger, Kyle; Jansen, Frederick; Bestavros, Azer. Web-based Multi-Party Computation with Application to Anonymous Aggregate Compensation Analytics. Technical Report BU-CS-TR 2015-009, Computer Science Department, Boston University, August 15, 2015.https://hdl.handle.net/2144/21773We describe the definition, design, implementation, and deployment of a multi-party computation protocol and supporting web-based infrastructure. The protocol and infrastructure constitute a software application that allows groups of cooperating parties, such as companies or other organizations, to collect aggregate data for statistical analysis without revealing the data of individual participants. The application was developed specifically to support a Boston Women's Workforce Council (BWWC) study of the gender wage gap among employers within the Greater Boston Area. The application was deployed successfully to collect aggregate statistical data pertaining to compensation levels across genders and demographics at a number of participating organizations.en-USAggregate dataAnonymized dataGender wage gapStatistical analysisTechnical Report