论文题目：Detecting Adversarial Examples Using Data Manifolds
论文地址：http://susmitjha.github.io/papers/milcom18.pdf
**DOI: **10.1109/MILCOM.2018.8599691
Our approach is based on identifying a low dimensional manifold in which the training samples lie, and then using the distance of a new observation from this manifold to identify whether this data point is adversarial or not.
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