arXiv AI
A Benchmark & Dataset for Detecting AI-Manipulated Visual Evidence in the Court System
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The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence
arXiv:2606. 07916v1 Announce Type: new Abstract: The growing ability of generative models to produce realistic documents poses a direct challenge to evidentiary workflows in the justice system and the courts, where decisions increasingly depend on the authenticity of evidence such as receipts, communications, and administrative records.
arXiv AI
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Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
arXiv:2606. 07613v1 Announce Type: cross Abstract: Visual evidence has long been treated as a reliable form of legal proof, but advances in artificial intelligence (AI) are undermining that assumption.
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ManiVid: Unified and Explainable Forensic Analysis of Manipulated Videos
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arXiv AI
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Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection
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arXiv AI
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