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Mar, 2018
标签净化对抗标签翻转攻击
Label Sanitization against Label Flipping Poisoning Attacks
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Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
TL;DR
本文提出了一种高效算法来执行最优标签翻转毒攻击,并提出了一种机制,以检测和重新标记可疑数据点,减轻这种毒攻击的影响。
Abstract
Many
machine learning
systems rely on data collected in the wild from untrusted sources, exposing the learning algorithms to
data poisoning
. Attackers can inject malicious data in the training dataset to subvert
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