Ownership Verification

Ownership verification for deep neural networks (DNNs) aims to establish irrefutable proof of model creation, protecting intellectual property in the face of unauthorized copying or misuse. Current research focuses on developing robust watermarking and fingerprinting techniques, often leveraging generative adversarial networks (GANs), blockchain technology, and cryptographic methods to embed verifiable identifiers within model architectures or their outputs. These methods are crucial for securing the significant economic value of DNNs and fostering trust in AI model transactions, impacting both the legal landscape surrounding digital assets and the practical deployment of AI technologies.