🔗 Who cites «IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization»

1. PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and RestorationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqian Zeng, Jianwei Wang, Junyao Yang, et al.2025 · 13 citations
2. Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt OptimizationFindings of the Association for Computational LinguisticsGabriel Loiseau, Damien Sileo, Damien Riquet, et al.2026 · 2 citations
3. Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data GenerationFindings of the Association for Computational LinguisticsQian Ma, Sarah Rajtmajer2026
4. Subject-level Inference for Realistic Text Anonymization EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Myeong Seok Oh, Dong-Yun Kim, Hanseok Oh, et al.2026

4 more papers of our library cite it; they have no page here yet.

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