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Elaborating AI countermeasures against malicious AI

Business news |
By Julien Happich

Organized by Google Brain, the competition on Adversarial Attacks and Defenses consist of three sub-competitions:

  • Non-targeted Adversarial Attack. The goal of the non-targeted attack is to slightly modify source image in a way that image will be classified incorrectly by generally unknown machine learning classifier.
  • Targeted Adversarial Attack. The goal of the targeted attack is to slightly modify source image in a way that image will be classified as specified target class by generally unknown machine learning classifier.
  • Defense Against Adversarial Attack. The goal of the defense is to build machine learning classifier which is robust to adversarial example, i.e. can classify adversarial images correctly.

The results are to be presented at a major AI conference later this year.

Kaggle – www.kaggle.com


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