IAM

Check out our latest research on weakly-supervised 3D shape completion.
10thJULY2018

READING

Andras Rozsa, Manuel Günther, Terrance E. Boult. Adversarial Robustness: Softmax versus Openmax. CoRR abs/1708.01697 (2017)

Rozsa et al. describe an adersarial attack against OpenMax by directly targeting the logits. Specifically, they assume a network using OpenMax instead of a SoftMax layer to compute the final class probabilities. OpenMax allows “open-set” networks by also allowing to reject input samples. By directly targeting the logits of the trained network, i.e. iteratively pushing the logits in a target direction, it does not matter whether SoftMax or OpenMax layers are used on top, the network can be fooled in both cases.

Also find this summary on ShortScience.org.

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