DISCLOSURE PREVENTION IN PRIVACY-PRESERVING DATA PUBLISHING

Mendeley Data2024-01-31 更新2024-06-28 收录

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2024-01-31

Privacy-preserving datasets

本研究利用条件变分自编码器（CVAEs）在预训练的基础模型提取的特征向量上进行训练，以捕捉数据分布并生成多样化的合成特征向量，同时保护隐私。该方法在医疗和自然图像领域显示出比传统方法更高的数据多样性和模型鲁棒性。数据集创建过程涉及使用大型预训练模型提取特征嵌入，然后通过CVAE进行训练以捕捉训练分布。该数据集主要应用于深度学习领域，特别是在数据稀缺和隐私敏感的环境中，旨在提高数据隐私保护和模型性能

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