HIGHLIGHTS
- who: Rafael Pinot from the EPFL, Lausanne, Switzerland LAMSADE, CNRS, Université Paris-Dauphine, PSL Research University, Paris, France have published the article: On the robustness of randomized classifiers to adversarial examples, in the Journal: (JOURNAL)
- what: The authors focus on classifiers (i.e. classifiers that output random variables) and provide a thorough analysis of their behavior through the lens of statistical learning theory and information theory. The authors show that the results are applicable to a wide range of machine learning models under mild hypotheses. The authors generalize the prior results from Pinot et_al by . . .
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