7 citations · 10 across the 5 of their papers we have counts for
5 papers
EditMark: Watermarking Large Language Models based on Model Editing
Shuai Li, Kejiang Chen, Jun Jiang +5
Large Language Models (LLMs) have demonstrated remarkable capabilities, but their training requires extensive data and computational resources, rendering them valuable digital asse…
Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models
Zijin Yang, Xin Zhang, Kejiang Chen +5
Ethical concerns surrounding copyright protection and inappropriate content generation pose challenges for the practical implementation of diffusion models. One effective solution…
Natias: Neuron Attribution based Transferable Image Adversarial Steganography
Zexin Fan, Kejiang Chen, Kai Zeng +3
Image steganography is a technique to conceal secret messages within digital images. Steganalysis, on the contrary, aims to detect the presence of secret messages within images. Re…
Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
Zijin Yang, Kai Zeng, Kejiang Chen +3
Ethical concerns surrounding copyright protection and inappropriate content generation pose challenges for the practical implementation of diffusion models. One effective solution…
Provably Secure Disambiguating Neural Linguistic Steganography
Yuang Qi, Kejiang Chen, Kai Zeng +2
Recent research in provably secure neural linguistic steganography has overlooked a crucial aspect: the sender must detokenize stegotexts to avoid raising suspicion from the eavesd…