Misclassification-driven Fingerprinting for DNNs Using Frequency-aware GANs
Deep neural networks (DNNs) have become valuable assets due to their success in various tasks, but their high training costs also make them targets for model theft. Fingerprinting techniques are commonly used to verify model ownership, but existing methods either require training many additional mod