IAM

25thMARCH2020

READING

Chuan Guo, Jared S. Frank, Kilian Q. Weinberger. Low Frequency Adversarial Perturbation. CoRR abs/1809.08758 (2018).

Guo et al. propose to augment black-box adversarial attacks with low-frequency noise to obtain low-frequency adversarial examples as shown in Figure 1. To this end, the boundary attack as well as the NES attack are modified to sample from a low-frequency Gaussian distribution instead from Gaussian noise directly. This is achieved through an inverse discrete cosine transform as detailed in the paper.

Figure 1: Example of a low-frequency adversarial example.

Also find this summary on ShortScience.org.

What is your opinion on the summarized work? Or do you know related work that is of interest? Let me know your thoughts in the comments below: