A formal game-based study establishes that black-box proofs of ownership for ML classifiers are possible precisely when the concept class is not self-correctable.
The good, the bad and the ugly: watermarks, transferable attacks and adversarial defenses.arXiv preprint arXiv:2410.08864, 2024
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Proofs of Ownership for Machine Learning Models
A formal game-based study establishes that black-box proofs of ownership for ML classifiers are possible precisely when the concept class is not self-correctable.