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PPML-Research-Lab / paper1-ppml-frameworks

Companion repository for the paper Threat-Driven Frameworks for Privacy-Preserving Machine Learning: A Practitioner’s Guide (2017–2025). Contains benchmarking tables, framework metrics, figure sources, and reference summaries for privacy-preserving ML techniques.

machine-learning differential-privacy privacy-tools ppml opacus

Updated Jan 4, 2026
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opacus

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PPML-Research-Lab / paper1-ppml-frameworks

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