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#privacy-auditing News & Analysis

2 articles tagged with #privacy-auditing. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 106/10
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Advancing the State-of-the-Art in Empirical Privacy Auditing

Researchers propose a new empirical privacy auditing framework for fine-tuned large language models that uses synthetic canaries generated via high-temperature sampling to detect data leakage. The method also introduces a novel audit for synthetic data generated from privacy-sensitive models, revealing how model capacity and training data characteristics affect memorization risks.

AINeutralarXiv – CS AI · May 96/10
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Addressing Labelled Data Scarcity: Taxonomy-Agnostic Annotation of PII Values in HTTP Traffic using LLMs

Researchers propose using Large Language Models to automatically detect and annotate Personally Identifiable Information (PII) in HTTP traffic without requiring fixed taxonomies or extensive manually-labeled datasets. The approach combines deterministic preprocessing with LLM-based classification and includes a synthetic traffic generator for evaluation, demonstrating flexible privacy audit capabilities across multiple PII domains.