5 papers
FRACTAL: SSM with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
Mengqi Li, Wensheng Lin, Jinshuai Yang +1
Effective sequence modeling fundamentally requires balancing the retention of unbounded history with the high-resolution detection of abrupt short-term variations common in real-wo…
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…
Towards Next-Generation Steganalysis: LLMs Unleash the Power of Detecting Steganography
Minhao Bai. Jinshuai Yang, Kaiyi Pang, Huili Wang +1
Linguistic steganography provides convenient implementation to hide messages, particularly with the emergence of AI generation technology. The potential abuse of this technology ra…