4 papers
ModelShield: Adaptive and Robust Watermark against Model Extraction Attack
Kaiyi Pang, Tao Qi, Chuhan Wu +3
Large language models (LLMs) demonstrate general intelligence across a variety of machine learning tasks, thereby enhancing the commercial value of their intellectual property (IP)…
Shifting-Merging: Secure, High-Capacity and Efficient Steganography via Large Language Models
Minhao Bai, Jinshuai Yang, Kaiyi Pang +2
In the face of escalating surveillance and censorship within the cyberspace, the sanctity of personal privacy has come under siege, necessitating the development of steganography,…
Semantic Steganography: A Framework for Robust and High-Capacity Information Hiding using Large Language Models
Minhao Bai, Jinshuai Yang, Kaiyi Pang +2
In the era of Large Language Models (LLMs), generative linguistic steganography has become a prevalent technique for hiding information within model-generated texts. However, tradi…
Provably Robust and Secure Steganography in Asymmetric Resource Scenario
Minhao Bai, Jinshuai Yang, Kaiyi Pang +3
To circumvent the unbridled and ever-encroaching surveillance and censorship in cyberspace, steganography has garnered attention for its ability to hide private information in inno…