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Anshuman Singh
Anshuman Singh
Associate Professor, University of Missouri St Louis
Verified email at umsl.edu
Title
Cited by
Cited by
Year
Tracking concept drift in malware families
A Singh, A Walenstein, A Lakhotia
Proceedings of the 5th ACM workshop on Security and artificial intelligence …, 2012
652012
Zero-inflated Poisson (ZIP) distribution: Parameter estimation and applications to model data from natural calamities
S Beckett, J Jee, T Ncube, S Pompilus, Q Washington, A Singh, N Pal
Involve, a Journal of Mathematics 7 (6), 751-767, 2014
502014
Vilo: a rapid learning nearest-neighbor classifier for malware triage
A Lakhotia, A Walenstein, C Miles, A Singh
Journal of Computer Virology and Hacking Techniques 9 (3), 109-123, 2013
432013
The safety of ultrasound guided central venous cannulation in patients with liver disease
SA Singh, S Sharma, A Singh, AK Singh, U Sharma, AS Bhadoria
Saudi Journal of Anaesthesia 9 (2), 155-160, 2015
212015
Context-sensitive analysis without calling-context
A Lakhotia, DR Boccardo, A Singh, A Manacero
Higher-Order and Symbolic Computation 23, 275-313, 2010
152010
Context-sensitive analysis of obfuscated x86 executables
A Lakhotia, DR Boccardo, A Singh, A Manacero Jr
Proceedings of the 2010 ACM SIGPLAN workshop on Partial evaluation and …, 2010
152010
Game-theoretic design of an information exchange model for detecting packed malware
A Singh, A Lakhotia
2011 6th International Conference on Malicious and Unwanted Software, 1-7, 2011
92011
Dimensional Scalability of Supervised and Unsupervised Concept Drift Detection: An Empirical Study
JDD Lavaire, A Singh, M Yousef, S Singh, X Yue
Advances in High Dimensional Big Data: IEEE Big Data, pp 2212-2218, 2015
82015
Machine learning techniques in exploring microRNA gene discovery, targets, and functions
S Singh, RG Benton, A Singh, A Singh
Bioinformatics in MicroRNA Research, 211-224, 2017
42017
On concept drift, deployability, and adversarial selection in machine learning-based malware detection
A Singh
University of Louisiana at Lafayette, 2012
22012
On optimal AV system strategies against obfuscated malware
A Singh, B Mai, A Lakhotia, A Walenstein
4th Annual Symposium on Information Assurance (ASIA’09) 30, 2009
22009
On Temporal Population Drift in Malware Families
A Singh, A Walenstein, A Lakhoita
Proceedings of 22nd Virus Bulletin Conference., 20, 2012
12012
USING GAME THEORY TO ASSESS THE STRENGTH OF AN AV SYSTEM AGAINST EVOLVING OFFENCES
B Mai, A Singh, A Walenstein, A Lakhotia
Proceedings of 18th Virus Bulletin Conference., 147, 2008
12008
Improving Multi-Prime RSA Crypto-computations
A Singh
University of Louisiana at Lafayette, 2006
12006
Erratum: Predicting the Quality of Spatial Learning via Virtual Global Landmarks (IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) 30 (2418-2425
J Liu, AK Singh, CT Lin
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
2022
AI Maturity in Cybersecurity Assessments
KJ Anshuman Singh, Vivek Kumar Singh
HICSS Symposium on Cybersecurity Big Data Analytics, 2020
2020
A conceptual framework for designing a big data course
A Singh, S Singh, M Yousef
Journal of Computing Sciences in Colleges 33 (5), 192-198, 2018
2018
Deployable classifiers for malware detection
A Singh, S Singh, A Walenstein, A Lakhotia
Information Systems, Technology and Management: 6th International Conference …, 2012
2012
On deployable adversarial classification models
A Singh, S Singh, A Walenstein, A Lakhotia
Proceedings of the 4th ACM workshop on Security and artificial intelligence …, 2011
2011
Strategic methods in adversarial classifier combination
A Singh, A Lakhotia
CRW’10: 3rd Cyberspace Research Workshop, 2010
2010
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Articles 1–20