Tag: homomorphic encryption

A new review of over 60 studies shows that differentially private federated learning has narrowed the accuracy gap for privacy-preserving ...

A $5 million NSF grant will fund PARAPET, a five-year national cyberinfrastructure project led by San Diego State University with ...

Researchers have designed secure multiparty computation protocols that let IoT enterprises compute set intersections and unions over exact rational numbers, ...

Researchers have unveiled a collaborative encryption framework that trains deep learning models on sensitive data up to three times faster ...

Researchers have developed FedDeepRiskNet++, a federated learning framework that combines differential privacy, homomorphic encryption and adaptive scheduling to let hospitals ...

A new confidentiality-preserving spiking neural transformer detects breast cancer in histopathology images with over 98% accuracy while computing entirely on ...

Researchers have built a federated learning system that combines CKKS homomorphic encryption with blockchain storage, cutting adversarial attack success from ...

Researchers in China have unveiled a verifiable, dynamic quantum secure multi-party multiplication protocol that uses RSA homomorphic encryption to detect ...

A new systematic survey maps the full landscape of privacy attacks on deep learning and finds that while differential privacy ...

A proof-of-concept study shows that differentially private, explainable AI can detect vasovagal syncope from tilt-test data with minimal accuracy loss, ...