no code implementations • 7 Feb 2024 • Yihao Li, Ru Zhang, Jianyi Liu, Gongshen Liu
While Large Language Models (LLMs) demonstrate exceptional performance in a multitude of Natural Language Processing (NLP) tasks, they encounter challenges in practical applications, including issues with hallucinations, inadequate knowledge updating, and limited transparency in the reasoning process.
no code implementations • 28 Jan 2024 • Yihao Wang, Ruiqi Song, Ru Zhang, Jianyi Liu, Lingxiao Li
Regarding open-source LLMs, we reconstruct the token generator of LLM to the "stego generator" so that it can control the generation of stego based on the secret.
no code implementations • 3 Nov 2023 • Yihao Wang, Ruiqi Song, Ru Zhang, Jianyi Liu
In this paper, we propose the UP4LS, a novel framework with the User Profile for enhancing LS performance.
no code implementations • IEEE 2020 • Jianyi Liu, Yu Tian, Ru Zhang, (Member, IEEE), YOUQIANG SUN, AND CHAN WANG
And 77. 58% success rate is obtained in the transfer test attack.
1 code implementation • 23 Jul 2018 • Ru Zhang, Shiqi Dong, Jianyi Liu
Nowadays, there are plenty of works introducing convolutional neural networks (CNNs) to the steganalysis and exceeding conventional steganalysis algorithms.