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Enhanced image forensics through partial C2PA-based provenance information — arXiv:2610.38639

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.38639
License (as archived): CC0-1.0
Archived: 2026-10-31T06:12:50.923Z
SHA-256 of the archived text: 0744ef1f583cc2ef6aa289b251fb1ddeb4631d1169b7878eb6df6dc5b8ff86dd
Stable URL of this page: https://metraipolis.com/documento/dc_feb37062cd92

How to cite

Enhanced image forensics through partial C2PA-based provenance information — arXiv:2610.38639 — arXiv (en), https://arxiv.org/abs/2610.38639 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_feb37062cd92 (Metraipolis archive dc_feb37062cd92, sha256 0744ef1f583cc2ef6aa289b251fb1ddeb4631d1169b7878eb6df6dc5b8ff86dd)

BibTeX

@misc{dcfeb37062cd92,
  title = {Enhanced image forensics through partial C2PA-based provenance information — arXiv:2610.38639},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.38639},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_feb37062cd92; sha256 0744ef1f583cc2ef6aa289b251fb1ddeb4631d1169b7878eb6df6dc5b8ff86dd},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.38639. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Cryptographically verifiable C2PA-based Content Credentials (CCs) can be attached to freshly acquired or generated digital images but also to already existing ones with no previous provenance information, for instance after processing through trusted C2PA-enabled software tools. The latter case leads to images with so-called partial CCs, which capture only the last operations applied, while prior provenance remains unknown and can be investigated through signal forensics. This paper addresses the forensic analysis of such images, highlighting the opportunity to leverage the partial CCs as additional trusted knowledge to adapt forensic detectors towards the statistical characteristics of the image under analysis and mitigate potential distribution shifts. To this end, a two-step strategy is envisioned: (i) reconstructing the operations applied by the last signer through a structural analysis of the partial CCs; (ii) exploiting the obtained reconstruction to enhance the forensic detector of the analyst through an adaptation process. An empirical analysis on partial CCs produced by commercial C2PA-enabled software tools through different editing operations is carried out, providing evidence on the feasibility of the reconstruction in practical cases. An experimental case study on the forensic task of synthetic image detection is then presented, showing that the proposed strategy can significantly enhance the performance of state-of-the-art detectors on test images that are postprocessed via C2PA-enabled software tools after being generated/acquired.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Cryptography and Security (cs.CR) ; Artificial Intelligence (cs.AI); Multimedia (cs.MM); Image and Video Processing (eess.IV).
Pagina del lavoro: https://arxiv.org/abs/2610.38639 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-31T06:07:08.668Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).