Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities

Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail Babenko, Gleb Radchenko, Arutyun Avetisyan, Alexander Yu Drozdov

Research output: Contribution to journalArticlepeer-review

Fingerprint

Dive into the research topics of 'Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities'. Together they form a unique fingerprint.

Engineering & Materials Science