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[D] Should all new classifiers include adversarial robustness as a comparison metric?

vulnerability to adversarial attacks is pretty well known now. I think it’s better to show improvement in robustness over improvements in accuracy now. 1% improvement under attack conditions is much more significant than 1% improvement in accuracy.

Edit: context.

Speaking from an academic point of view, for newly proposed algorithms.

submitted by /u/HecknBamBoozle
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.