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News/Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs
arxiv
PublishedMay 8, 2026 at 4:00 AM
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Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs

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Publisher summary· verbatim

arXiv:2605.06305v1 Announce Type: new Abstract: Automated privacy audits of web and mobile applications often analyse outbound HTTP traffic to detect Personally Identifiable Information (PII) leakage. However, existing learning-based detectors typically depend on scarce, manually labelled traffic an

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Mentioned models
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    Large Language Models (LLMs)
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Read original ↗All from arxiv →
Tags
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#privacy#security#annotation#information-retrieval

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