Partial C2PA credentials used to adapt synthetic-image forensic detectors
Original title: Enhanced image forensics through partial C2PA-based provenance information
Reconstructing the last signer’s edits from partial credentials improved detectors on images postprocessed by C2PA tools.
The paper studies images that receive only partial C2PA Content Credentials, recording the last trusted operations while earlier provenance stays unknown. It proposes reconstructing those last operations from the credential structure, then adapting a forensic detector to the image’s statistics. An empirical check on partial credentials from commercial C2PA-enabled tools found reconstruction feasible for several editing operations. A synthetic-image detection case study reports better performance for state-of-the-art detectors on images postprocessed after generation or acquisition.
Unconfirmed: Performance gains are reported for the authors’ case study, not an independent evaluation.
- Partial credentials capture only the last signer’s operations.
- The method has a reconstruction step and a detector-adaptation step.
- Tests used commercial C2PA-enabled tools and several edits.
- The case study targets synthetic image detection after postprocessing.
From the original article
1 min read at arxiv.orgCryptographically 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.
By Riccardo Ziglio · arxiv.org
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