Adversarial attacks: How to trick computer vision-9.72

In 2014, the publication of a study from a Google-led AI research team opened up a new field of hacking called an adversarial attack. The techniques the paper demonstrated not only changed our understanding of how machine learning operates but also showed in practical terms how one of the most commercially promising and highly anticipated aspects of the AI revolution could potentially be undermined.

This new attack surface proved so intrinsic to the basic structure of deep neural networks that, to this date, the best minds in AI research are having difficulty in devising effective defenses against it.

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