Mahmood Sharif

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20182023

most citedA General Framework for Adversarial Examples with Objectives

206 citations · 293 across the 7 of their papers we have counts for

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cs.CV2019★ 5 cited

$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers

Mahmood Sharif, Lujo Bauer, Michael K. Reiter

This paper proposes a new defense called $n$ -ML against adversarial examples, i.e., inputs crafted by perturbing benign inputs by small amounts to induce misclassifications by clas…

cs.CV2018★ 206 cited

A General Framework for Adversarial Examples with Objectives

Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer +1

Images perturbed subtly to be misclassified by neural networks, called adversarial examples, have emerged as a technically deep challenge and an important concern for several appli…

n-ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers

A General Framework for Adversarial Examples with Objectives

$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers