Benedetta Tondi

Attribution accuracy peaks at intermediate representation levels, revealing that the right balance of representation and reference selection is crucial for effective synthetic image attribution.

Adversarial examples become significantly easier to generate as input dimensionality increases, challenging existing theoretical assumptions about their emergence.

Collusion attacks can render traditional model fingerprinting ineffective, but this new method not only embeds fingerprints but also sabotages the quality of colluded outputs.