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Nov, 2023
Tabdoor: 基于Transformer的表格数据神经网络的后门漏洞
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data
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Bart Pleiter, Behrad Tajalli, Stefanos Koffas, Gorka Abad, Jing Xu...
TL;DR
使用深度神经网络对表格数据进行背门攻击的综合分析,结果显示转换器模型上的表格数据非常容易受到背门攻击,而傅立叶变换作为一种防御技术可以有效应对。
Abstract
deep neural networks
(DNNs) have shown great promise in various domains. Alongside these developments, vulnerabilities associated with DNN training, such as
backdoor attacks
, are a significant concern. These atta
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