2025
NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
EMNLP 2025
The widespread use of cloud-based Large Language Models (LLMs) has heightened concerns over user privacy, as sensitive information may be inadvertently exposed during interactions with these services. To protect privacy before sending sensitive data to those models, we suggest sanitizing sensitive t