Due to underlying privacy-sensitive information in user-item interaction data, the risk of
privacy leakage exists in the centralized-training recommender system (RecSys). To this …

Multi-Protocol SPDZ (MP-SPDZ) is a fork of SPDZ-2 (Keller et al., CCS'13), an
implementation of the multi-party computation (MPC) protocol called SPDZ (Damgård et al …

Secure multiparty computation Page 1 86 COMMUNICATIONS OF THE ACM | JANUARY 2021 |
VOL. 64 | NO. 1 review articles DISTRIBUTED COMPUTING CONSIDERS the scenario where a …

Secure Multi-party Computation (MPC) allows a set of mutually distrusting parties to jointly
evaluate a function on their private inputs while maintaining input privacy. In this work, we …

Secure multi-party computation (MPC) has evolved from a theoretical curiosity in the 1980s
to a tool for building real systems today. Over the past decade, MPC has been one of the …

Oblivious transfer (OT) protocol is an essential tool in cryptography that provides a wide
range of applications such as secure multi-party computation, private information retrieval …

Pseudorandom states, introduced by Ji, Liu and Song (Crypto'18), are efficiently-computable
quantum states that are computationally indistinguishable from Haar-random states. One …

This paper presents Prio, a privacy-preserving system for the collection of aggregate
statistics. Each Prio client holds a private data value (eg, its current location), and a small set …

In this paper, we describe a new information-theoretic protocol (and a computationally-
secure variant) for secure three-party computation with an honest majority. The protocol has …

We give new instantiations of the Fiat-Shamir transform using explicit, efficiently computable
hash functions. We improve over prior work by reducing the security of these protocols to …