EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

ICLR 2020 Sanchari SenBalaraman RavindranAnand Raghunathan

Ensuring robustness of Deep Neural Networks (DNNs) is crucial to their adoption in safety-critical applications such as self-driving cars, drones, and healthcare. Notably, DNNs are vulnerable to adversarial attacks in which small input perturbations can produce catastrophic misclassifications... (read more)

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