Fit interpretable models. Explain blackbox machine learning.
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Updated
Sep 5, 2024 - C++
Fit interpretable models. Explain blackbox machine learning.
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
Synergistic fusion of privacy-enhancing technologies for enhanced privacy protection.
Differentially Private Information Retrieval
GBDT learning + differential privacy. Standalone C++ implementation of "DPBoost" (Li et al.). There are further hardened & SGX versions of the code.
S-BDT: Distributed Differentially Private Boosted Decision Trees
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