Year: 2025
Type: conference-paper
Abstract: The omnipresence of generated content has led to an increasing need of multimedia content traceability. Water-marking techniques have been proven to provide both detection guarantees and robustness. However, widespread use of such methods would require disclosing the watermark detector to the public. Such access breaches the watermark security: end-users with unlimited access to the detector could easily craft adversarial examples, through white-box and black-box attacks. To circumvent this issue, we suggest providing to the public a surrogate, less accurate detector. Calls to the private detector would be reserved for important or anomalous cases. This paper studies the potential leakage of information from the surrogate detector. We first create a wide panel of images adversarial to the surrogate detector. The efficiency of the private detector is then assessed on this data. This allows us to introduce a metric of the transferability of these attacks from the surrogate to the private detector. Through this metric, we evaluate the security of different designs of surrogate detectors.
Authors: Chloé Imadache, Eva Giboulot, Teddy Furon
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4408352391