Octra Network deploys on-chain FHE machine learning with governance and zero-knowledge verification, letting anyone run private ML inference directly on-chain.

Andes Y. L. Kei, Sherman S. M. Chow PAPER SHAFT: Secure, Handy, Accurate and Fast Transformer Inference Adoption of transformer-based machine learning models is growing, raising concerns about ...

Researchers from Boston University, Northeastern University, KAIST, and University of Murcia, et al. have released “FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption”.

Abstract: Privacy-preserving machine learning (PPML) demands secure inference on sensitive data in untrusted environments. Fully homomorphic encryption (FHE) enables ...

Abstract: In order to protect the cooperative training of machine learning models across decentralized devices, this study presents a novel privacy-preserving federated learning system with ...

Mere data exfiltration is no longer a lucrative approach for ransomware groups, and threat actors may increasingly rely on encryption to regain leverage, Coveware notes in a new report. Following a ...