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BlindStep MPC kernel for privacy-preserving collaborative reasoning

Original title: BlindStep: A Secure One-Step Kernel for Privacy-Preserving Collaborative Reasoning

arXiv cs.CRby Xiaoxian Liu ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

BlindStep is a fixed-shape MPC-online kernel that provides simulation-based guarantees for bounded-slot aggregation between semi-honest parties.

BlindStep is presented as a secure one-step kernel for post-alignment steps in two-party collaborative workflows. It realizes six semi2k variants in MP-SPDZ across sharing styles and top-K strategies. Performance tests show B-Queue achieving major speedups and communication reductions over H-variants under LAN, while H-Sort performs best in WAN scenarios due to round complexity.

Key facts
  • Six semi2k realizations implemented in MP-SPDZ
  • B-Queue 6-7 times faster than H-Queue at N=256 under LAN
  • B-Queue delivers 21-30x speedups over H-Sort at N=2048-8192
  • H-Sort fastest under N=256 WAN profile
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From the original article

1 min read at arxiv.org

A recurring step in two-party collaborative workflows combines a private candidate frontier with a partner's compatible evidence, scores the resulting candidates, and retains only a small frontier. Direct execution can expose intermediate candidates, local scores, or unauthorized evidence provenance.

arXiv cs.CR

By Xiaoxian Liu · arxiv.org

Read the full article at arXiv cs.CR

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