The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.
MIT researchers crafted a new approach that could allow anyone to run operations on encrypted data without decrypting it first.
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The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.
AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?
Ranking at the top for the 13th year in a row, the Institute also places first in 11 subject areas.
The Institute also ranks second in five subject areas.
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
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