Mahmood Sharif

activity

20182023

most citedA General Framework for Adversarial Examples with Objectives

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

collaborators

Showing 2019Show all

2 papers · 1 filter

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.CR2019★ 70 cited

Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes

Keane Lucas, Mahmood Sharif, Lujo Bauer +2

Motivated by the transformative impact of deep neural networks (DNNs) in various domains, researchers and anti-virus vendors have proposed DNNs for malware detection from raw bytes…

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

Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes

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