Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics
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Updated
Nov 20, 2024 - Rust
Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics
FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing — ICML 2026. Compiler, CUDA runtime, and Sigma integration.
Privacy-preserving recommender in C++17: three-server private matrix factorisation (Nudge) composed with DPF-based private retrieval (Pirsona), with the cost and leakage of the composition measured. No cryptographic libraries.
Browser-based two-server PIR from distributed point functions — tree expansion, a 65,536-record private shelf, key-size comparison, collusion, and tampering side by side, with real AES-128-CTR seeds and a 290-byte key against the 8,192-byte full-domain XOR baseline.
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