Kejiang Chen

3 papers University of Science and Technology of China

• STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model
• StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models
• T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models