2025
Addressing Tokenization Inconsistency in Steganography and Watermarking Based on Large Language Models
EMNLP 2025
Large language models have significantly enhanced the capacities and efficiency of text generation. On the one hand, they have improved the quality of text-based *steganography*. On the other hand, they have also underscored the importance of *watermarking* as a safeguard against malicious misuse. I