Secure AI Model Sharing: A Cryptographic Approach for Encrypted Model Exchange

Abstract

The secure exchange of cryptographic keys is crucial for ensuring the
confidentiality and integrity of AI models during sharing and collaboration.
This research paper focuses on proposing a secure key exchange approach
specifically tailored for encrypted model sharing. By addressing the key
distribution problem inherent in AI model sharing, this approach establishes a
secure and robust mechanism for exchanging cryptographic keys. The paper
provides an overview of secure key exchange techniques, including public key
cryptography, Diffie-Hellman key exchange, and elliptic curve cryptography,
and discusses their application in the context of AI model sharing. The
implementation details and evaluation results demonstrate the effectiveness
and security of the proposed secure key exchange approach, offering a reliable
solution for ensuring the confidentiality and integrity of shared AI models.