{"id":764191,"date":"2021-08-02T09:08:32","date_gmt":"2021-08-02T16:08:32","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=764191"},"modified":"2021-08-02T21:20:27","modified_gmt":"2021-08-03T04:20:27","slug":"circuit-psi-with-linear-complexity-via-relaxed-batch-opprf","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/circuit-psi-with-linear-complexity-via-relaxed-batch-opprf\/","title":{"rendered":"Circuit-PSI with Linear Complexity via Relaxed Batch OPPRF"},"content":{"rendered":"

P0 and P1 hold sets S0 and S1 respectively and wish to securely compute a function f over the set S0\u2229S1 (e.g., cardinality, sum over associated attributes, or threshold intersection). Following a long line of work, Pinkas et al. (PSTY, Eurocrypt 2019) showed how to construct a concretely efficient Circuit-PSI protocol with linear communication complexity. However, their protocol requires super-linear computation.<\/p>\n

In this work, we construct concretely efficient Circuit-PSI protocols with linear computational and communication cost. Further, our protocols are more performant than the state-of-the-art, PSTY — we are \u22482.3\u00d7 more communication efficient and are up to 2.8\u00d7 faster. We obtain our improvements through a new primitive called Relaxed Batch Oblivious Programmable Pseudorandom Functions (RBOPPRF) that can be seen as a strict generalization of Batch OPPRFs that were used in PSTY. We believe that this primitive could be of independent interest.<\/p>\n","protected":false},"excerpt":{"rendered":"

P0 and P1 hold sets S0 and S1 respectively and wish to securely compute a function f over the set S0\u2229S1 (e.g., cardinality, sum over associated attributes, or threshold intersection). Following a long line of work, Pinkas et al. (PSTY, Eurocrypt 2019) showed how to construct a concretely efficient Circuit-PSI protocol with linear communication complexity. 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