Project

Splintering with distributions: A stochastic decoy scheme for private computation

Praneeth Vepakomma, Julia Balla, Ramesh Raskar

Groups

We present a stochastic scheme for splitting the client data into privatized shares that are transmitted to the server in such settings. The server performs the requested operations on these shares instead of on the raw client data at the server. The obtained intermediate results are sent back to the client where they are assembled by the client to obtain the final result. Link: https://github.com/vepakom/PrivacyDocuments/blob/master/Splintering.pdf

We present a stochastic scheme for splitting the client data into privatized shares that are transmitted to the server in such settings. The server performs the requested operations on these shares instead of on the raw client data at the server. The obtained intermediate results are sent back to the client where they are assembled by the client to obtain the final result. Link: https://github.com/vepakom/PrivacyDocuments/blob/master/Splintering.pdf