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2101.00521
Cited By

Improving DGA-Based Malicious Domain Classifiers for Malware Defense
with Adversarial Machine Learning

Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning

Conference Information and Communication Technology (ICT), 2020

2 January 2021

ArXiv (abs)PDF HTML

Papers citing "Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning"

3 / 3 papers shown

FIGO: Enhanced Fingerprint Identification Approach Using GAN and One
Shot Learning Techniques

FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning TechniquesInternational Symposium on Digital Forensics and Security (ISDFS), 2022

Mahmoud Abouyoussef

139

3

0

11 Aug 2022

Privacy Protection of Grid Users Data with Blockchain and Adversarial
Machine Learning

Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning

Mahmoud Abouyoussef

201

20

0

15 Jan 2021

Avoiding Occupancy Detection from Smart Meter using Adversarial Machine
Learning

Avoiding Occupancy Detection from Smart Meter using Adversarial Machine LearningIEEE Access (IEEE Access), 2020

277

26

0

23 Oct 2020

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