Robust Neural Networks using Randomized Adversarial Training

25 Mar 2019Alexandre AraujoLaurent MeunierRafael PinotBenjamin Negrevergne

This paper tackles the problem of defending a neural network against adversarial attacks crafted with different norms (in particular $\ell_\infty$ and $\ell_2$ bounded adversarial examples). It has been observed that defense mechanisms designed to protect against one type of attacks often offer poor performance against the other... (read more)

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