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 ...

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 ...

Abstract: The growing reliance on machine learning (ML) in healthcare raises critical concerns regarding data privacy and security. While federated learning (FL) enables collaborative model training ...

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 ...

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 ...

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 ...

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 ...

What do you do when you need to perform computations on large data sets while preserving their confidentiality? In other words, you would like to gather analytics, for example, on user data, without ...

Last couple of years has seen the development of different technologies, with blockchain considered to be one of them. In the current context, the technology is believed to be important because of ...

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 ...