Eirik Østmo / Torger Grytå

VI seminar #27 - Discovering Transferable Forensic Features

The program will be available shortly. Please check back later.

Discovering Transferable ForensicFeatures for CNN-generated Images Detection

Presenter: Alexander Binder, University of Oslo and Singapore Institute of Technology

Alexander Binder

Abstract: Visual counterfeits are increasingly causing an existential conundrum in mainstream media with rapid evolution in neural image synthesis methods. Though detection of such counterfeits has been a taxing problem in the image forensics community, a recent class of forensic detectors – universal detectors – are able to surprisingly spot counterfeit images regardless of generator architectures, loss functions, training datasets, and resolutions.This intriguing property suggests the possible existence of transferable forensic features (T-FF) in universal detectors. In this work, we conduct the first analytical study to discover and understand T-FF in universal detectors.Our contributions are 2-fold: 1)We propose a novel forensic feature relevance statistic (FF-RS) to quantify and discover T-FF in universal detectors and, 2)Our qualitative and quantitative investigations uncover an unexpected finding:color is a critical T-FF in universal detectors.

The seminar is on a recently accepted paper. More information can be found here.

In compliance with GDPRconsent requirements, presentations given in a Visual Intelligence context maybe recorded with the consent of the speaker. All recordings are edited toremove all faces, names and voices of other participants. Questions and comments by the audience will hence be removed and will not appear in the recording. With the freely given consent from the speaker, recorded presentation may be posted on the Visual Intelligence YouTube channel.

This seminar is open for members of the consortium. If you want to participate as a guest please sign up.

Sign up here