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Secure multi-party computation for privacy-preserving analytics – Complete Phd and Masters Thesis

Secure multi-party computation for privacy-preserving analytics – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, privacy concerns have become increasingly prevalent as individuals and organizations seek to protect their sensitive data from unauthorized access. Secure multi-party computation (SMPC) is a cryptographic technique that enables…

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Secure Multi-Party Computation for Privacy-Preserving Analytics – Complete Phd and Masters Thesis

Secure Multi-Party Computation for Privacy-Preserving Analytics – Complete Phd and Masters Thesis

[ad_1] Introduction: Secure Multi-Party Computation (SMPC) is a cryptographic technique that allows multiple parties to jointly compute a function over their private inputs without revealing any individual input to the other parties. This technology has…

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