Stealing and evading malware classifiers and antivirus at low false positive conditions

Author:

Rigaki M.ORCID,Garcia S.

Funder

Czech Technical University in Prague Research Center for Informatics

Nvidia

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference51 articles.

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2. Anderson H.S., Kharkar A., Filar B., Evans D., Roth P.. Learning to evade static pe machine learning malware models via reinforcement learning. 2018. arXiv:1801.08917

3. Anderson H.S., Roth P.. EMBER: An open dataset for training static PE malware machine learning models. arXiv:1804.04637

4. Attacking machine learning the cylance case study;Ashkenazy;BSides Sydney,2019

5. Ba J.L., Kiros J.R., Hinton G.E.. Layer normalization. arXiv:1607.06450

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