Multi-Party Private Set Operations from Predicative Zero-Sharing
Minglang Dong, Yu Chen, Cong Zhang, Yujie Bai, Yang Cao
摘要
Typical protocols in the multi-party private set operations (MPSO) setting enable m > 2 parties to perform certain secure computation on the intersection or union of their private sets, realizing a very limited range of MPSO functionalities. Most works in this field focus on just one or two specific functionalities, resulting in a large variety of isolated schemes and a lack of a unified framework in MPSO research. In this work, we present an MPSO framework, which allows m parties, each holding a set, to securely compute any set formulas (arbitrary compositions of a finite number of binary set operations, including intersection, union and difference) on their private sets. Our framework is highly versatile and can be instantiated to accommodate a broad spectrum of MPSO functionalities. To the best of our knowledge, this is the first framework to achieve such a level of flexibility and generality in MPSO, without relying on generic secure multi-party computation (MPC) techniques. Our framework exhibits favorable theoretical and practical performance. With computation and communication complexity scaling linearly with the set size n, it achieves optimal complexity that is on par with the naive solution for widely used functionalities, such as multi-party private set intersection (MPSI), MPSI with cardinality output (MPSI-card), and MPSI with cardinality and sum (MPSI-card-sum), for the first time in the standard semi-honest model. Furthermore, the instantiations of our framework, which primarily rely on symmetric-key techniques, provide efficient protocols for MPSI, MPSI-card, MPSI-card-sum, and multi-party private set union (MPSU), with online performance that either surpasses or matches the state of the art in standard semi-honest model. At the technical core of our framework is a newly introduced primitive called predicative zero-sharing. This primitive captures the universality of a number of MPC protocols and is composable. We believe it may be of independent interest.
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引用它的顶会 Paper3
- PULSE: Parallel Private Set Union for Large-Scale EntitiesJiahui Gao, Son Nguyen, Marina Blanton, Ni TrieuCCS 2025 · 被引用 1 次
- Select-Then-Compute: Encrypted Label Selection and Analytics over Distributed Datasets using FHENirajan Koirala, Seunghun Paik, Sam Martin, Helena Berens 等NDSS 2026 · 被引用 1 次
- Butterfly: Scalable Multi-Party Circuit-PSI via Triplet Zero-SharingRanyang Liu, Xiaojie Guo, Tong Li, Zheli LiuUSENIX Security 2026
它引用的顶会 Paper16
- Efficient Batched Oblivious PRF with Applications to Private Set IntersectionVladimir Kolesnikov, Ranjit Kumaresan, Mike Rosulek, Ni TrieuCCS 2016 · 被引用 429 次
- Practical Multi-party Private Set Intersection from Symmetric-Key TechniquesVladimir Kolesnikov, Naor Matania, Benny Pinkas, Mike Rosulek 等CCS 2017 · 被引用 247 次
- Efficient Two-Round OT Extension and Silent Non-Interactive Secure ComputationElette Boyle, Geoffroy Couteau, Niv Gilboa, Yuval Ishai 等CCS 2019 · 被引用 238 次
- PSI from PaXoS: Fast, Malicious Private Set IntersectionBenny Pinkas, Mike Rosulek, Ni Trieu, Avishay YanaiEUROCRYPT 2020 · 被引用 198 次
- VOLE-PSI: Fast OPRF and Circuit-PSI from Vector-OLEPeter Rindal, Phillipp SchoppmannEUROCRYPT 2021 · 被引用 159 次
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