MASCOT: Faster Malicious Arithmetic Secure Computation with Oblivious Transfer
Marcel Keller, Emmanuela Orsini, Peter Scholl
Abstract
We consider the task of secure multi-party computation of arithmetic circuits over a finite field. Unlike Boolean circuits, arithmetic circuits allow natural computations on integers to be expressed easily and efficiently. In the strongest setting of malicious security with a dishonest majority --- where any number of parties may deviate arbitrarily from the protocol --- most existing protocols require expensive public-key cryptography for each multiplication in the preprocessing stage of the protocol, which leads to a high total cost. We present a new protocol that overcomes this limitation by using oblivious transfer to perform secure multiplications in general finite fields with reduced communication and computation. Our protocol is based on an arithmetic view of oblivious transfer, with careful consistency checks and other techniques to obtain malicious security at a cost of less than 6 times that of semi-honest security. We describe a highly optimized implementation together with experimental results for up to five parties. By making extensive use of parallelism and SSE instructions, we improve upon previous runtimes for MPC over arithmetic circuits by more than 200 times.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext a261e0fc-9563-4b57-91de-b5e6ba5ab130Cited by top-tier papers85
- CrypTen: Secure Multi-Party Computation Meets Machine LearningBrian Knott, Shobha Venkataraman, Awni Y. Hannun, Shubho Sengupta et al.NeurIPS 2021 · 573 citations
- ABY2.0: Improved Mixed-Protocol Secure Two-Party ComputationArpita Patra, Thomas Schneider, Ajith Suresh, Hossein YalameUSENIX Security 2021 · 307 citations
- Privacy Preserving Vertical Federated Learning for Tree-based ModelsYuncheng Wu, Shaofeng Cai, Xiaokui Xiao, Gang Chen et al.VLDB 2020 · 259 citations
- Improved Non-Interactive Zero Knowledge with Applications to Post-Quantum SignaturesJonathan Katz, Vladimir Kolesnikov, Xiao WangCCS 2018 · 257 citations
- Efficient Two-Round OT Extension and Silent Non-Interactive Secure ComputationElette Boyle, Geoffroy Couteau, Niv Gilboa, Yuval Ishai et al.CCS 2019 · 238 citations
Related papers
- The Price of Active Security in Cryptographic ProtocolsCarmit Hazay, Muthuramakrishnan Venkitasubramaniam, Mor WeissEUROCRYPT 2020 · 17 citations
- Two-Thirds Honest-Majority MPC for Malicious Adversaries at Almost the Cost of Semi-HonestJun Furukawa, Yehuda LindellCCS 2019 · 34 citations
- TinyOLE: Efficient Actively Secure Two-Party Computation from Oblivious Linear Function EvaluationNico Döttling, Satrajit Ghosh, Jesper Buus Nielsen, Tobias Nilges et al.CCS 2017 · 47 citations
- Scalable Multiparty Computation from Non-linear Secret SharingSanjam Garg, Abhishek Jain, Pratyay Mukherjee, Mingyuan WangCRYPTO 2024 · 2 citations
- Practical Fully Secure Three-Party Computation via Sublinear Distributed Zero-Knowledge ProofsElette Boyle, Niv Gilboa, Yuval Ishai, Ariel NofCCS 2019 · 71 citations
