Guarding Against Adversarial Attacks using Biologically Inspired Contour Integration

  • Salman Khan
  • Alexander Wong
  • Bryan Tripp

Abstract

Artificial vision systems are susceptible to adversarial attacks. Small
intentional changes to images can cause these systems to mis-
classify with high confidence. The brain has many mechanisms for
strengthening weak or confusing inputs. One such technique, con-
tour integration can separate objects from irrelevant background.
We show that incorporating contour integration within artificial vi-
sual systems can increase their robustness to adversarial attacks.

Published
2018-12-23
How to Cite
Khan, S., Wong, A., & Tripp, B. (2018). Guarding Against Adversarial Attacks using Biologically Inspired Contour Integration. Journal of Computational Vision and Imaging Systems, 4(1), 3. https://doi.org/10.15353/jcvis.v4i1.336