BriefGPT.xyz
Jan, 2025
自编码器在异常检测中的不可靠性
Autoencoders for Anomaly Detection are Unreliable
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Roel Bouman, Tom Heskes
TL;DR
本研究解决了自编码器在异常检测中的理论假设缺陷，指出其无法始终准确区分正常数据和异常数据。通过实验证明了异常数据能够被完美重构，强调了这一特性在安全关键应用中的潜在危险性。
Abstract
Autoencoders
are frequently used for
Anomaly Detection
, both in the unsupervised and semi-supervised settings. They rely on the assumption that when trained using the
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