Attacking the Madry Defense Model with $L_1$-based Adversarial Examples

30 Oct 2017Yash SharmaPin-Yu Chen

The Madry Lab recently hosted a competition designed to test the robustness of their adversarially trained MNIST model. Attacks were constrained to perturb each pixel of the input image by a scaled maximal $L_\infty$ distortion $\epsilon$ = 0.3... (read more)

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