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 ...

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 ...

Federated learning has long been pitched as the privacy-friendly way to train artificial intelligence: instead of shipping sensitive data to a central server, the model travels to the data, and only ...

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 ...

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

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 ...

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 ...

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 ...

Several years ago, on a dairy farm in the small Irish village of Dundrum, four technologists — Maxim Dressler, Ryan Lasmaili, Shaun Mc Brearty and Tilo Weigandt — brainstormed solutions for what they ...

Confidence in the electoral system is fundamental to a healthy democracy. But when a Gallup poll last year asked people if they had faith in the honesty of elections, 59% of Americans said they did ...