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Certified Robustness
Provably Robust Cost-Sensitive Learning via Randomized Smoothing
Study how to certify and train for cost-sensitive robustness using randomized smoothing.
Yuan Xin
,
Michael Backes
,
Xiao Zhang
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ArXiv
Cost-Sensitive Robustness against Adversarial Examples
We propose a notion of cost-sensitive robustness for measuring classifier’s performance when adversarial transformations are not equally important, and provide a certified robust training method to optimize for it.
Xiao Zhang
,
David Evans
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