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 ...

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 ...

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 ...

AI and privacy needn’t be mutually exclusive. After a decade in the labs, homomorphic encryption (HE) is emerging as a top way to help protect data privacy in machine learning (ML) and cloud computing ...

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 ...

Quantum homomorphic encryption (QHE) represents an emerging paradigm in quantum information processing that allows computations to be performed directly on encrypted quantum data. This technique ...

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 ...

Yesterday, Ars spoke with IBM Senior Research Scientist Flavio Bergamaschi about the company’s recent successful field trials of Fully Homomorphic Encryption. We suspect many of you will have the same ...

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 ...

Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. In the Tech sector there are few areas of the market that are as ...