End-to-end, privacy-preserving ML for heart-disease prediction on encrypted data. The client encrypts locally, the server computes on ciphertext (CKKS), and only the client can decrypt the result. a ...

Identity used to live in one place - an LDAP directory, an HR system, a single IAM portal. Not anymore. Today, identity is fragmented across SaaS, on-prem, IaaS, PaaS, home-grown, and shadow ...

Attack Surface Management (ASM) tools promise reduced risk. What they usually deliver is more information. Security teams deploy ASM, asset inventories grow, alerts start flowing, and dashboards fill ...

Aims to develop a secure and efficient method for searching similar medical images stored in encrypted form on a remote server, ensuring patient privacy and data confidentiality while enabling quick ...