Efficient Linear Multiparty PSI and Extensions to Circuit/Quorum PSI
Nishanth Chandran, Nishka Dasgupta, Divya Gupta, Sai Lakshmi Bhavana Obbattu, Sruthi Sekar, Akash Shah
摘要
Multiparty Private Set Intersection (mPSI), enables n parties, each holding private sets (each of size m) to securely compute the intersection of these private sets. While several protocols are known for this task, the only concretely efficient protocol is due to the work of Kolesnikov et al. (KMPRT, CCS 2017), who gave a semi-honest secure protocol with communication complexity O(nmtƛ), where t < n is the number of corrupt parties and ƛ is the security parameter. In this work, we make the following contributions: –First, for the natural adversarial setting of semi-honest honest majority (i.e. t<n/2), we asymptotically improve upon the above result and provide a concretely efficient protocol with total communication of O(nmƛ). –Second, concretely, our protocol has 6(t+2)/5 times lesser communication than KMPRT and is up to 5× and 6.2× faster than KMPRT in the LAN and WAN setting even for 15 parties. –Finally, we introduce and consider two important variants of mPSI - circuit PSI (that allows the parties to compute a function over the intersection set without revealing the intersection itself) and quorum PSI (that allows P1 to learn all the elements in his/her set that are present in at least k other sets) and provide concretely efficient protocols for these variants.
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引用它的顶会 Paper11
- SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest ModelJelle Vos, Mauro Conti, Zekeriya ErkinS&P 2024 · 被引用 15 次
- O-Ring and K-Star: Efficient Multi-party Private Set IntersectionMingli Wu, Tsz Hon Yuen, Kwan Yin ChanUSENIX Security 2024 · 被引用 10 次
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- Practical Traceable Over-Threshold Multi-Party Private Set IntersectionLe Yang, Weijing You, Huiyang He, Kailiang Ji 等NDSS 2026 · 被引用 2 次
- Simple, Fast Malicious Multiparty Private Set IntersectionOfri Nevo, Ni Trieu, Avishay YanaiCCS 2021 · 被引用 2 次
它引用的顶会 Paper11
- ABY3: A Mixed Protocol Framework for Machine LearningPayman Mohassel, Peter RindalCCS 2018 · 被引用 898 次
- High-Throughput Semi-Honest Secure Three-Party Computation with an Honest MajorityToshinori Araki, Jun Furukawa, Yehuda Lindell, Ariel Nof 等CCS 2016 · 被引用 463 次
- Efficient Batched Oblivious PRF with Applications to Private Set IntersectionVladimir Kolesnikov, Ranjit Kumaresan, Mike Rosulek, Ni TrieuCCS 2016 · 被引用 429 次
- CrypTFlow2: Practical 2-Party Secure InferenceDeevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran 等CCS 2020 · 被引用 294 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
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