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New LeakageBench benchmark reveals persistent PII risks in document redaction

By PulseAugur Editorial · [2 sources] ·

A new benchmark called LeakageBench has been developed to assess the risk of personally identifiable information (PII) leakage from document images. The benchmark, which includes 500 document images with over 11,000 GDPR-aligned PII annotations, evaluates various redaction methods, including OCR pipelines and vision-language models. While tools like Code Interpreter can improve the localization of PII when used with models like GPT-5.5, the benchmark indicates that significant page-level leakage risks persist, highlighting the need for more robust PII redaction techniques. AI

IMPACT Highlights the ongoing challenges in AI-driven PII redaction, suggesting that current tools and models still struggle with comprehensive document-level safety.

RANK_REASON The cluster describes a new academic benchmark and research paper published on arXiv.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New LeakageBench benchmark reveals persistent PII risks in document redaction

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The cluster describes a new academic benchmark and research paper published on arXiv.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Vishnu Prasad Vijaya Kumar, Santhosh Venkatesh, Ivan P. Yamshchikov ·

    LeakageBench: Document-Level Leakage Risk for Redacting Personally Identifiable Information in Document Images

    arXiv:2609.02207v1 Announce Type: cross Abstract: Real-world personally identifiable information (PII) redaction often operates on document images---scans, screenshots, and PDF renderings---where OCR errors, layout structure, and visual noise determine whether sensitive informati…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    LeakageBench: Document-Level Leakage Risk for Redacting Personally Identifiable Information in Document Images

    Real-world personally identifiable information (PII) redaction often operates on document images---scans, screenshots, and PDF renderings---where OCR errors, layout structure, and visual noise determine whether sensitive information is actually removed. Existing PII benchmarks ar…

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