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Spectral Clustering and Embedding with Hidden Markov Models., , and . ECML, volume 4701 of Lecture Notes in Computer Science, page 164-175. Springer, (2007)On the infeasibility of modeling polymorphic shellcode - Re-thinking the role of learning in intrusion detection systems., , , , and . Mach. Learn., 81 (2): 179-205 (2010)You Are What You Use: An Initial Study of Authenticating Mobile Users via Application Usage., , , and . MobiCASE, page 51-61. ACM / ICST, (2016)System Level User Behavior Biometrics using Fisher Features and Gaussian Mixture Models., , , and . IEEE Symposium on Security and Privacy Workshops, page 52-59. IEEE Computer Society, (2013)Spectrogram: A Mixture-of-Markov-Chains Model for Anomaly Detection in Web Traffic., , and . NDSS, The Internet Society, (2009)A Behavior-based Approach Towards Statistics-Preserving Network Trace Anonymization.. Columbia University, USA, (2012)Brave New World: Pervasive Insecurity of Embedded Network Devices., , , and . RAID, volume 5758 of Lecture Notes in Computer Science, page 378-380. Springer, (2009)Feature Points Recognition of Computerized Numerical Control Machining Tool Path Based on Deep Learning., , , , and . Comput. Aided Des., (2022)Density Estimation under Independent Similarly Distributed Sampling Assumptions., , and . NIPS, page 713-720. Curran Associates, Inc., (2007)Poster: Scalable evaluation for wireless mobile systems., , , , , and . MobiSys, page 376-377. ACM, (2014)