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Conference papers

Fooling an Automatic Image Quality Estimator

Abstract : 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.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-03132891
Contributor : Teddy Furon Connect in order to contact the contributor
Submitted on : Friday, February 5, 2021 - 2:45:36 PM
Last modification on : Tuesday, January 4, 2022 - 6:12:36 AM
Long-term archiving on: : Friday, May 7, 2021 - 8:27:36 AM

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  • HAL Id : hal-03132891, version 1

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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⟩

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