Paper 2023/1890
Lightning Fast Secure Comparison for 3PC PPML
Abstract
Privacy-preserving machine learning (PPML) techniques have gained significant popularity in the past years. Those protocols have been widely adopted in many real-world security-sensitive machine-learning scenarios. Secure comparison is one of the most important non-linear operations in PPML.
In this work, we focus on maliciously secure comparison in the 3-party MPC over ring
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Preprint.
- Contact author(s)
-
lutianpei @ zju edu cn
zhaoyuzhou @ zju edu cn - History
- 2025-05-22: last of 4 revisions
- 2023-12-08: received
- See all versions
- Short URL
- https://ia.cr/2023/1890
- License
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CC BY
BibTeX
@misc{cryptoeprint:2023/1890, author = {Tianpei Lu and Bingsheng Zhang and Lichun Li and Yuzhou Zhao and Kui Ren}, title = {Lightning Fast Secure Comparison for {3PC} {PPML}}, howpublished = {Cryptology {ePrint} Archive, Paper 2023/1890}, year = {2023}, url = {https://eprint.iacr.org/2023/1890} }