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 ...
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 ...
The new method accelerates encrypted matrix multiplication, advancing practical fully homomorphic encryption (FHE) for AI SEOUL, South Korea, Nov. 13, 2025 ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
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 technical paper titled “CraterLake: A Hardware Accelerator for Efficient Unbounded Computation on Encrypted Data” was published by researchers at MIT, IBM TJ Watson, SRI International, and ...
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 ...
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