Search Results for author:
Found 5 papers, 1 papers with code
An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration
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.
LLsM: Generative Linguistic Steganography with Large Language Model
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.
UP4LS: User Profile Constructed by Multiple Attributes for Enhancing Linguistic Steganalysis
In this paper, we propose the UP4LS, a novel framework with the User Profile for enhancing LS performance.
A Two-Stage Generative Adversarial Networks With Semantic Content Constraints for Adversarial Example Generation
And 77. 58% success rate is obtained in the transfer test attack.
Invisible Steganography via Generative Adversarial Networks
Nowadays, there are plenty of works introducing convolutional neural networks (CNNs) to the steganalysis and exceeding conventional steganalysis algorithms.
