<ul><li>Researchers have presented a theory on how to securely implement cryptography in deep neural networks (DNNs).</li><li>The challenge lies in the discrepancy between the discrete computational model of cryptographic primitives and the continuous computational model of DNNs.</li><li>The researchers demonstrated that natural implementations of block ciphers as DNNs can be broken, but they also developed a new method for implementing cryptographic functionality in a provably secure and correct way.</li><li>Their protective technique introduces a low overhead and is practical for implementation.</li></ul>

Implementing Cryptography in AI Systems

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