Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
IEEE

Homomorphically Encrypted Robust MPC for Privacy-Preserving Control under System Uncertainties

Abstract: In this paper, a homomorphically encrypted robust model predictive control (HERMPC) is proposed to address privacy and security concerns in the cloud-based control of polytopic uncertain ...

Post-Quantum Cryptography Is A Business Problem Hiding Inside Of A Math Problem

Beyond advanced mathematics or theoretical computing breakthroughs, PQC is about protecting the systems enterprises already ...
Microsoft

Accelerating the quantum-safe timeline

We’re accelerating quantum-safe readiness—and sharing what organizations can do now to transition earlier and with confidence ...
IEEE

Vertical Federated Density Peaks Clustering Under Nonlinear Mapping

Abstract: As the representative density-based clustering algorithm, density peaks clustering (DPC) has wide recognition, and many improved algorithms and applications have been extended from it.
GitHub

privacy_preserving_ML.md

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...