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Security Analysis of Online Centroid Anomaly Detection

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Figure

Figure 1: Illustration of the density level estimation using a centroid model with a non-linear kernel.
Figure 2: Illustration of a poisoning attack. By iteratively inserting malicious training points anattacker can gradually “drag” the centroid into a direction of an attack
Figure 3: The geometry of a poisoning attack for the nearest-out rule. A greedy-optimal attack is injected at the boundary of the respective Voronoi cell.
Figure 4: Effectiveness of the poisoning attack for the nearest-out rule as a function of input spacedimensionality
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