Fooling an Automatic Image Quality Estimator

Benoit Bonnet (1) , Teddy Furon (1) , Patrick Bas (2)

1 LinkMedia - Creating and exploiting explicit links between multimedia fragments
2 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189

This paper presents our work on the 2020 MediaEval task: “Pixel Privacy: Quality Camouflage for Social Images". Blind Image Quality Assessment (BIQA) is an algorithm predicting a quality score for any given image. Our task is to modify an image to decrease its BIQA score while maintaining a good perceived quality. Since BIQA is a deep neural network, we worked on an adversarial attack approach of the problem.

Domaines: Traitement du signal et de l'image [eess.SP]

Benoit Bonnet, Teddy Furon, Patrick Bas. Fooling an Automatic Image Quality Estimator. MediaEval 2020 - MediaEval Benchmarking Intiative for Multimedia Evaluation, Dec 2020, Online, United States. pp.1-4. ⟨hal-03132891⟩