Understanding and Improving Fast Adversarial Training

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Understanding and Improving
            Fast Adversarial Training

      Maksym Andriushchenko                 Nicolas Flammarion
   EPFL, Theory of Machine Learning Lab        EPFL, Theory of Machine Learning Lab
    maksym.andriushchenko@epfl.ch            nicolas.flammarion@epfl.ch

                        Abstract
     A recent line of work focused on making adversarial training computationally
     efficient for deep learning models. In particular, Wong et al. [47] showed that
     `∞ -adve ...

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关键词：Understand improving Training Proving Under