The problem with encrypted data is that you must decrypt it in order to work with it. By doing so, it’s vulnerable to the very things you were trying to protect it from by encrypting it. There is a ...

Genomic medicine has a privacy problem that is getting harder to ignore. As hospitals and research consortia increasingly ...

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

Homomorphic encryption is a method of performing calculations on encrypted information without decrypting it first. Why do you care about some arcane computer math? Because it could make cloud ...

Data theft and data loss is an endemic problem on the internet. According to the firm Risk Based Security (via TechRepublic), 2020 alone saw 3,932 publicly disclosed breaches with 37 billion records ...

Organizations are starting to take an interest in homomorphic encryption, which allows computation to be performed directly on encrypted data without requiring access to a secret key. While the ...

Helical founder Eric Hess discusses how homomorphic encryption could change the way data is transferred and processed securely. While advances in data analytics have enabled businesses to gain ...

This article is a Japanese translation of the official Midnight Medium post, "ZK vs FHE vs MPC: which should you use for a privacy-focused DApp?" (dated September 10, 2026).Zero-Knowledge Proofs (ZK), ...

A startup named Ravel claims breakthroughs in fully homomorphic encryption, a hotly-pursued method for analyzing encrypted data without ever decrypting it. Now imagine another approach: instead of ...

Modern cryptography is embedded in countless digital systems and components. It's an essential tool for keeping data secure and private. Yet one of the biggest limitations with cryptography, including ...