As part of COMPRISE, the work “Private Protocols for U-Statistics in the Local Model and Beyond” [James Bell, Aurélien Bellet, Adria Gascon, Tejas Kulkarni] has been accepted for presentation at two workshops part of CCS’2019: Theory and Practice of Differential Privacy (TPDP) and Privacy Preserving Machine Learning (PPML). Congratulations to our team!

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