Robust Utility-Preserving Text Anonymization Based on Large Language Models (2025.acl-long)
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| Challenge: | Existing techniques face challenges of re-identification ability of large language models . anonymizing text that contains sensitive information is crucial for a wide range of applications . |
| Approach: | They propose a framework that integrates three key LLM components to perform anonymization. |
| Outcome: | The proposed model outperforms baselines while maintaining greater data utility in downstream tasks. |
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