✨Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization
📝 Summary:
This paper introduces adaptive text anonymization, a framework that uses prompt optimization to automatically adjust anonymization strategies for language models. It adapts to varying privacy-utility requirements across diverse domains, achieving a better trade-off than baselines. It is efficient...
🔹 Publication Date: Published on Feb 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.20743
• PDF: https://arxiv.org/pdf/2602.20743
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#TextAnonymization #Privacy #PromptOptimization #LLM #NLP
📝 Summary:
This paper introduces adaptive text anonymization, a framework that uses prompt optimization to automatically adjust anonymization strategies for language models. It adapts to varying privacy-utility requirements across diverse domains, achieving a better trade-off than baselines. It is efficient...
🔹 Publication Date: Published on Feb 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.20743
• PDF: https://arxiv.org/pdf/2602.20743
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#TextAnonymization #Privacy #PromptOptimization #LLM #NLP