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Pavel Laskov, Ph.D.

Affiliations: 
2001 University of Delaware, Newark, DE, United States 
Area:
Computer Science
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"Pavel Laskov"
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Chandra Kambhamettu grad student 2001 University of Delaware
 (Extensions of differential-geometric algorithms for estimation of three-dimensional non-rigid motion and correspondence.)

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źRndić N, Laskov P. (2016) Hidost: a static machine-learning-based detector of malicious files Eurasip Journal On Information Security. 2016: 22
Šrndić N, Laskov P. (2014) Practical evasion of a learning-based classifier: A case study Proceedings - Ieee Symposium On Security and Privacy. 197-211
Grozea C, Laskov P. (2012) Anomaly Detection at “supersonic” Speed Information Technology. 54: 82-89
Henneges C, Laskov P, Darmawan E, et al. (2010) A factorization method for the classification of infrared spectra. Bmc Bioinformatics. 11: 561
Laskov P, Lippmann R. (2010) Machine learning in adversarial environments Machine Learning. 81: 115-119
Kloft M, Laskov P. (2010) Online anomaly detection under adversarial impact Journal of Machine Learning Research. 9: 405-412
Carle G, Dressler F, Kemmerer RA, et al. (2009) Network attack detection and defense - Manifesto of the Dagstuhl Perspective Workshop, March 2nd-6th, 2008 Computer Science - Research and Development. 23: 15-25
Wahl S, Rieck K, Laskov P, et al. (2009) Securing IMS against novel threats Bell Labs Technical Journal. 14: 243-258
Rieck K, Laskov P. (2007) Language models for detection of unknown attacks in network traffic Journal in Computer Virology. 2: 243-256
Laskov P, Schäfer C, Kotenko IV, et al. (2004) Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines Praxis Der Informationsverarbeitung Und Kommunikation. 27: 228-236
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