Issue #115: New technique secures data during deep-learning computations

Guarantees security of data transferred by leveraging quantum properties of light

Welcome to Issue #115 of One Minute AI, your daily AI news companion. This issue discusses recent research from MIT.

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New technique secures data using quantum properties of light

MIT researchers have created a new security protocol designed to protect sensitive data during cloud-based computations, particularly for deep learning applications. The protocol leverages the unique properties of quantum light to encode information, ensuring that any attempt to intercept or tamper with the data would be detected. This method is particularly useful for tasks like healthcare diagnostics, where both the data and the deep learning models used to process it need to be kept secure from attackers.

Not only does the protocol shield the client’s data, but it also safeguards the proprietary models hosted by cloud service providers. It achieves a remarkable accuracy rate of 96% while maintaining strong security measures. The innovation could have broader applications, including secure federated learning and potential use in quantum computing operations. This development marks a significant advancement in making cloud-based computations both more efficient and secure.

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