Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation

30 Jul 2019Utku OzbulakArnout Van MessemWesley De Neve

Deep learning models, which are increasingly being used in the field of medical image analysis, come with a major security risk, namely, their vulnerability to adversarial examples. Adversarial examples are carefully crafted samples that force machine learning models to make mistakes during testing time... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.