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Dimitrios Diochnos

1 accepted papers

2018

Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution

NeurIPS 2018poster

We study adversarial perturbations when the instances are uniformly distributed over {0,1}^n. We study both "inherent" bounds that apply to any problem and any classifier for such a problem as well as bounds that apply to specific problems and specific hypothesis classes.

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