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New AIForge-Doc benchmark highlights AI forgery threat in documents

By PulseAugur Editorial · [1 sources] ·

A new benchmark called AIForge-Doc has been developed to address the growing threat of AI-generated forgeries in financial and form documents. Existing detection methods, which primarily target traditional editing tools like Photoshop, perform poorly against AI-inpainted forgeries. Tests using models like Gemini 2.5 Flash Image and Ideogram v2 Edit showed that current detectors and even GPT-4o struggle to distinguish AI-forged content from authentic data, indicating a significant new challenge for document forensics. AI

IMPACT Highlights a new frontier in AI-driven document fraud, necessitating the development of advanced detection techniques.

RANK_REASON The item is a research paper introducing a new benchmark for AI-forged document detection. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AIForge-Doc benchmark highlights AI forgery threat in documents

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The item is a research paper introducing a new benchmark for AI-forged document detection. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jiaqi Wu, Yuchen Zhou, Muduo Xu, Zisheng Liang, Simiao Ren, Jiayu Xue, Meige Yang, Siying Chen, Jingheng Huan ·

    AIForge-Doc: A Benchmark for Detecting AI-Forged Tampering in Financial and Form Documents

    arXiv:2602.20569v2 Announce Type: replace Abstract: We present AIForge-Doc, the first dedicated benchmark targeting exclusively diffusion-model-based inpainting in financial and form documents with pixel-level annotation. Existing document forgery datasets rely on traditional dig…

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