Evaluating Feature Robustness for Windows Malware Family Classification
Author:
Affiliation:
1. United States Military Academy,West Point,NY
2. IBM Research,Yorktown Heights,NY
3. University of Colorado Colorado Springs,Colorado Springs,CO
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9868842/9868856/09868914.pdf?arnumber=9868914
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3. Intriguing Properties of Adversarial ML Attacks in the Problem Space
4. TESSERACT: Eliminating experimental bias in malware classification across space and time;pendlebury;28th USENIX Security Symposium,2019
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