Charles Smutz
Charles Smutz
Geverifieerd e-mailadres voor sandia.gov
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Malicious PDF detection using metadata and structural features
C Smutz, A Stavrou
Proceedings of the 28th annual computer security applications conference …, 2012
2092012
When a Tree Falls: Using Diversity in Ensemble Classifiers to Identify Evasion in Malware Detectors.
C Smutz, A Stavrou
NDSS, 2016
512016
Preventing exploits in microsoft office documents through content randomization
C Smutz, A Stavrou
International Symposium on Recent Advances in Intrusion Detection, 225-246, 2015
72015
Discerning machine learning degradation via ensemble classifier mutual agreement analysis
C Smutz, A Stavrou
George Mason University Technical Report, 2015
32015
Document Content Layout Based Exploit Protections
C Smutz, A Stavrou
12014
Project Zuko: Introducing Efficient Deobfuscation into YARA
A Cloward, S Skousen, C Crandall, N Lund, J Jones, A Willey, J Giboney, ...
2020
Countering Malicious Documents and Adversarial Learning
C Smutz
2016
Ruminate: A Scalable Architecture for Deep Network Analysis
C Smutz, A Stavrou
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Artikelen 1–8