Homomorphic encryption, a complex technique that uses cryptographic algorithms to keep data secure as it travels around networks and to third parties, continues to elude mass-market scalability and ...

Regardless of the strength of data’s encryption, more and more potential vulnerabilities surface in data security as more people are granted access to sensitive information. However, a relatively new ...

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 ...

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 has been called the new oil—the 21st century's most valuable commodity. Due to this value, we have entered an era where data breaches are not just a threat but a frequent headline. Regardless, ...

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 ...

Zama has announced details of its upcoming public token auction, which will be conducted as a single price sealed bid Dutch ...

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 ...

Now imagine another approach: instead of letting the jewelers have your pile of raw gold, it stays inside a locked box. Only you have the key. By inserting their hands into the box, the jeweler can ...

Add Yahoo as a preferred source to see more of our stories on Google. Homomorphic encryption, a complex technique that uses cryptographic algorithms to keep data secure as it travels around networks ...