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

French startup Zama has raised $73mn to commercialise the “holy grail” of cryptography: fully homomorphic encryption (FHE). Conceptually simple but practically complex, FHE enables computations on ...

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 ...

Homomorphic encryption is the conversion of data into ciphertext that can be analyzed and worked with as if it were still in its original form. Homomorphic encryption enables complex mathematical ...

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 ...

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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 ...

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 ...

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 ...