Deceiving Portable Executable Malware Classifiers into Targeted Misclassification with Practical Adversarial Examples-Reference-Cited by-同舟云学术

Deceiving Portable Executable Malware Classifiers into Targeted Misclassification with Practical Adversarial Examples

Published:2020-03-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy
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Author:

Kucuk Yunus¹,Yan Guanhua¹

Affiliation:

1. Binghamton University, State University of New York, Binghamton, NY, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3374664.3375741

Reference64 articles.

1. https://scipy.github.io/devdocs/generated/scipy.spatial.distance.jensenshannon.html. https://scipy.github.io/devdocs/generated/scipy.spatial.distance.jensenshannon.html.

2. Cuckoo Sandbox. https://cuckoosandbox.org. Cuckoo Sandbox. https://cuckoosandbox.org.

3. FakeNet. https://github.com/fireeye/flare-fakenet-ng. FakeNet. https://github.com/fireeye/flare-fakenet-ng.

4. IDA Pro. https://www.hex-rays.com/. IDA Pro. https://www.hex-rays.com/.

5. Microsoft Malware Classification Challenge (BIG 2015). https://www.kaggle.com/c/malware-classification. Microsoft Malware Classification Challenge (BIG 2015). https://www.kaggle.com/c/malware-classification.

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