Physical world assistive signals for deep neural network classifiers -- neither defense nor attack
Camilo Pestana,
Wei Liu,
David Glance
et al.
Abstract:Deep Neural Networks lead the state of the art of computer vision tasks. Despite this, Neural Networks are brittle in that small changes in the input can drastically affect their prediction outcome and confidence. Consequently and naturally, research in this area mainly focus on adversarial attacks and defenses. In this paper, we take an alternative stance and introduce the concept of Assistive Signals, which are optimized to improve a model's confidence score regardless if it's under attack or not. We analyse… Show more
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