One-class classification / outliers detection

Is it possible to perform a one-class classification in KNIME. By one class I mean training on "genuine" samples and testing on "genuine" and "outliers".

so far we do not have a dedicated node for this.

However, you could use the fuzzy c-means for clustering. It will outptut a noise  probability which refers to the outliers.