DF-Net: The Digital Forensics Network for Image Forgery Detection

David Fischinger (Autor:in und Vortragende:r), Martin Boyer

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

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Abstract

The orchestrated manipulation of public opinion, particularly through manipulated images, often spread via online social networks (OSN), has become a serious threat to society. In this paper we introduce the Digital Forensics Net (DF-Net), a deep neural network for pixel-wise image forgery detection. The released model outperforms several state-of-the-art methods on four established benchmark datasets. Most notably, DF-Net’s detection is robust against lossy image operations (e.g resizing, compression) as they are automatically performed by social networks.
OriginalspracheEnglisch
TitelDF-Net: The Digital Forensics Network for Image Forgery Detection
Redakteure/-innenPeter Corcoran
Erscheinungsorthttps://iprcs.github.io/pdf/IMVIP2023_Proceeding.pdf
Seiten120-127
Seitenumfang8
PublikationsstatusVeröffentlicht - 2023
Veranstaltung25th Irish Machine Vision and Image Processing Conference - Galway, Ireland, Galway, Irland
Dauer: 30 Aug. 20231 Sept. 2023
https://www.universityofgalway.ie/c3i/news-&-events/imvip_2023/

Konferenz

Konferenz25th Irish Machine Vision and Image Processing Conference
KurztitelIMVIP 2023
Land/GebietIrland
StadtGalway
Zeitraum30/08/231/09/23
Internetadresse

Research Field

  • Computer Vision

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