Styx integrates sticky policies with TEEs to enforce data-specific rules throughout the full lifecycle in multi-party collaborative computing.
and Kaminsky, Michael and Mitzenmacher, Michael D
2 Pith papers cite this work. Polarity classification is still indexing.
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The anti-lexicographic SUS-anchor achieves sampling densities less than 1% above the lower bound for alphabet size 4 and k=1, substantially outperforming bidirectional anchors.
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Styx: Collaborative and Private Data Processing With TEE-Enforced Sticky Policy
Styx integrates sticky policies with TEEs to enforce data-specific rules throughout the full lifecycle in multi-party collaborative computing.
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The anti-lexicographic SUS-anchor: a near-optimal k=1 sampling scheme
The anti-lexicographic SUS-anchor achieves sampling densities less than 1% above the lower bound for alphabet size 4 and k=1, substantially outperforming bidirectional anchors.