Robotics & Machine Learning Daily News2024,Issue(Jun.4) :109-110.

Researchers from Tsinghua University Report Recent Findings in Machine Learning (On the Privacy Effect of Data Enhancement Via the Lens of Memorization)

清华大学的研究人员报告了机器学习的最新发现(关于通过记忆镜头增强数据的隐私效应)

Robotics & Machine Learning Daily News2024,Issue(Jun.4) :109-110.

Researchers from Tsinghua University Report Recent Findings in Machine Learning (On the Privacy Effect of Data Enhancement Via the Lens of Memorization)

清华大学的研究人员报告了机器学习的最新发现(关于通过记忆镜头增强数据的隐私效应)

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摘要

Robotics&Machine Learning Daily News的一位新闻记者兼工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。根据中国人民代表大会北京新闻报道,NewsRx编辑的研究表明:“机器学习提出了严重的隐私问题,因为它已经证明所学习的模型可以揭示关于他们训练数据的敏感信息,许多工作已经研究了广泛采用的数据增强和对抗性训练技术,TE RMED数据增强的效果。”论机器学习模型的隐私泄露"。本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Beijing, People’s Rep ublic of China, by NewsRx editors, research stated, “Machine learning poses seve re privacy concerns as it has been shown that the learned models can reveal sens itive information about their training data. Many works have investigated the ef fect of widely adopted data augmentation and adversarial training techniques, te rmed data enhancement in the paper, on the privacy leakage of machine learning m odels.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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