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

13 citations · 18 across the 4 of their papers we have counts for

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cs.LG2020

Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks

Sarada Krithivasan, Sanchari Sen, Anand Raghunathan

Adversarial attacks have exposed serious vulnerabilities in Deep Neural Networks (DNNs) through their ability to force misclassifications through human-imperceptible perturbations…

cs.LG2020★ 13 cited

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

Sanchari Sen, Balaraman Ravindran, Anand 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…