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PQC meets ML or AI: Exploring the Synergy of Machine Learning and Post-quantum Cryptography
  • Saleh Darzi,
  • Attila A Yavuz
Saleh Darzi
University of South Florida

Corresponding Author:[email protected]

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Attila A Yavuz
University of South Florida

Abstract

Artificial Intelligence and Machine Learning are widely integrated into real-world applications, facing security and privacy risks. The emergence of quantum computers poses a substantial threat to ML's long-term security. Our study delves into the intersection of ML with security and privacy in the post-quantum era, where Post-Quantum Cryptography meets ML/AI.
10 Jan 2024Submitted to TechRxiv
13 Feb 2024Published in TechRxiv