Robotics & Machine Learning Daily News2024,Issue(Dec.4) :120-121.

Research on Machine Learning Reported by a Researcher at Jilin Normal University (Research on Key Technologies of Image Steganography Based on Simultaneous Dece ption of Vision and Deep Learning Models)

吉林师范大学机器学习研究报告(基于视觉和深度学习模型的图像隐写关键技术研究)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :120-121.

Research on Machine Learning Reported by a Researcher at Jilin Normal University (Research on Key Technologies of Image Steganography Based on Simultaneous Dece ption of Vision and Deep Learning Models)

吉林师范大学机器学习研究报告(基于视觉和深度学习模型的图像隐写关键技术研究)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据新闻报道NewsRx编辑在中国人民共和国四平发表的研究报告称,“作为机器学习”随着技术的不断发展,传统的图像隐写技术发现自己越来越无法面对欺骗人类视觉系统和机器学习模型的双重挑战。在为此,本文介绍了可视化的Rob ust图像隐写算法(VRIS)模型,特别是为这项双重任务量身定做"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingout of Siping, People’s Repub lic of China, by NewsRx editors, research stated, “As machine learningcontinues to evolve, traditional image steganography techniques find themselves increasin gly unable tomeet the dual challenge of deceiving both the human visual system and machine learning models. Inresponse, this paper introduces the Visually Rob ust Image Steganography (VRIS) model, specificallytailored for this dual decept ion task.”

Key words

Jilin Normal University/Siping/People’ s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Tec hnology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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