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| 2012 | ||
|---|---|---|
| 43 | Cristian Grozea, Pavel Laskov: Anomaly Detection at "supersonic" Speed. it - Information Technology 54(2): 82-89 (2012) | |
| 2011 | ||
| 42 | Pavel Laskov, Nedim Srndic: Static detection of malicious JavaScript-bearing PDF documents. ACSAC 2011: 373-382 | |
| 41 | Blaine Nelson, Battista Biggio, Pavel Laskov: Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. Journal of Machine Learning Research - Proceedings Track 20: 63-79 (2011) | |
| 40 | Battista Biggio, Blaine Nelson, Pavel Laskov: Support Vector Machines Under Adversarial Label Noise. Journal of Machine Learning Research - Proceedings Track 20: 97-112 (2011) | |
| 2010 | ||
| 39 | Cristian Grozea, Zorana Bankovic, Pavel Laskov: FPGA vs. Multi-core CPUs vs. GPUs: Hands-On Experience with a Sorting Application. Facing the Multicore-Challenge 2010: 105-117 | |
| 38 | Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov: TokDoc: a self-healing web application firewall. SAC 2010: 1846-1853 | |
| 37 | Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov: Botzilla: detecting the "phoning home" of malicious software. SAC 2010: 1978-1984 | |
| 36 | Carsten Henneges, Pavel Laskov, Endang Darmawan, Juergen Backhaus, Bernd Kammerer, Andreas Zell: A factorization method for the classification of infrared spectra. BMC Bioinformatics 11: 561 (2010) | |
| 35 | Marius Kloft, Pavel Laskov: Online Anomaly Detection under Adversarial Impact. Journal of Machine Learning Research - Proceedings Track 9: 405-412 (2010) | |
| 34 | Pavel Laskov, Richard Lippmann: Machine learning in adversarial environments. Machine Learning 81(2): 115-119 (2010) | |
| 2009 | ||
| 33 | Pavel Laskov, Marius Kloft: A framework for quantitative security analysis of machine learning. AISec 2009: 1-4 | |
| 32 | Patrick Düssel, Christian Gehl, Pavel Laskov, Jens-Uwe Bußer, Christof Störmann, Jan Kästner: Cyber-Critical Infrastructure Protection Using Real-Time Payload-Based Anomaly Detection. CRITIS 2009: 85-97 | |
| 31 | Ulrich Greveler, Pavel Laskov, Sebastian Pape: Vorwort der Workshop-Leitung. GI Jahrestagung 2009: 186-190 | |
| 30 | Dirk Haage, Ralph Holz, Heiko Niedermayer, Pavel Laskov: CLIO - A Cross-Layer Information Service for Overlay Network Optimization. KiVS 2009: 279-284 | |
| 29 | Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien: Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS 2009: 997-1005 | |
| 28 | Stefan Wahl, Konrad Rieck, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller: Securing IMS against novel threats. Bell Labs Technical Journal 14(1): 243-257 (2009) | |
| 27 | Georg Carle, Falko Dressler, Richard A. Kemmerer, Hartmut König, Christopher Kruegel, Pavel Laskov: Network attack detection and defense - Manifesto of the Dagstuhl Perspective Workshop, March 2nd-6th, 2008. Computer Science - R&D 23(1): 15-25 (2009) | |
| 2008 | ||
| 26 | Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov: Automatic feature selection for anomaly detection. AISec 2008: 71-76 | |
| 25 | Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Düssel, Pavel Laskov: Learning and Classification of Malware Behavior. DIMVA 2008: 108-125 | |
| 24 | Patrick Düssel, Christian Gehl, Pavel Laskov, Konrad Rieck: Incorporation of Application Layer Protocol Syntax into Anomaly Detection. ICISS 2008: 188-202 | |
| 23 | Vojtech Franc, Pavel Laskov, Klaus-Robert Müller: Stopping conditions for exact computation of leave-one-out error in support vector machines. ICML 2008: 328-335 | |
| 22 | Konrad Rieck, Stefan Wahl, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller: A Self-learning System for Detection of Anomalous SIP Messages. IPTComm 2008: 90-106 | |
| 21 | Georg Carle, Falko Dressler, Richard A. Kemmerer, Hartmut König, Christopher Kruegel, Pavel Laskov: 08102 Manifesto -- Perspectives Workshop: Network Attack Detection and Defense. Network Attack Detection and Defense 2008 | |
| 20 | Konrad Rieck, Pavel Laskov: Linear-Time Computation of Similarity Measures for Sequential Data. Journal of Machine Learning Research 9: 23-48 (2008) | |
| 2007 | ||
| 19 | Eric Filiol, Roland Büschkes, Pavel Laskov: Foreword. Journal in Computer Virology 2(4): 241-242 (2007) | |
| 18 | Konrad Rieck, Pavel Laskov: Language models for detection of unknown attacks in network traffic. Journal in Computer Virology 2(4): 243-256 (2007) | |
| 2006 | ||
| 17 | Roland Büschkes, Pavel Laskov: Detection of Intrusions and Malware & Vulnerability Assessment, Third International Conference, DIMVA 2006, Berlin, Germany, July 13-14, 2006, Proceedings Springer 2006 | |
| 16 | Konrad Rieck, Pavel Laskov, Klaus-Robert Müller: Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. DAGM-Symposium 2006: 374-383 | |
| 15 | Konrad Rieck, Pavel Laskov: Detecting Unknown Network Attacks Using Language Models. DIMVA 2006: 74-90 | |
| 14 | Konrad Rieck, Pavel Laskov, Sören Sonnenburg: Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS 2006: 1177-1184 | |
| 13 | Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller: Incremental Support Vector Learning: Analysis, Implementation and Applications. Journal of Machine Learning Research 7: 1909-1936 (2006) | |
| 2005 | ||
| 12 | Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck: Learning Intrusion Detection: Supervised or Unsupervised?. ICIAP 2005: 50-57 | |
| 11 | Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller: Visualization of anomaly detection using prediction sensitivity. Sicherheit 2005: 197-208 | |
| 2004 | ||
| 10 | Pavel Laskov, Christin Schäfer, Igor V. Kotenko: Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines. DIMVA 2004: 71-82 | |
| 9 | Caspar von Wrede, Pavel Laskov: Using classification to determine the number of finger strokes on a multi-touch tactile device. ESANN 2004: 549-554 | |
| 8 | Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller: A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation. Journal of Machine Learning Research 5: 777-800 (2004) | |
| 7 | Pavel Laskov, Christin Schäfer, Igor V. Kotenko, Klaus-Robert Müller: Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines. Praxis der Informationsverarbeitung und Kommunikation 27(4): 228-236 (2004) | |
| 2003 | ||
| 6 | Pavel Laskov, Chandra Kambhamettu: Curvature-Based Algorithms for Nonrigid Motion and Correspondence Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1349-1354 (2003) | |
| 5 | Chandra Kambhamettu, Dmitry B. Goldgof, Matthew He, Pavel Laskov: 3D nonrigid motion analysis under small deformations. Image Vision Comput. 21(3): 229-245 (2003) | |
| 2002 | ||
| 4 | Pavel Laskov: Feasible Direction Decomposition Algorithms for Training Support Vector Machines. Machine Learning 46(1-3): 315-349 (2002) | |
| 2001 | ||
| 3 | Pavel Laskov, Chandra Kambhamettu: Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation. BMVC 2001 | |
| 1999 | ||
| 2 | Roman Erenshteyn, Pavel Laskov, David M. Saxe, Richard A. Foulds: Distributed Output Encoding for Multi-Class Pattern Recognition. ICIAP 1999: 229-234 | |
| 1 | Pavel Laskov: An Improved Decomposition Algorithm for Regression Support Vector Machines. NIPS 1999: 484-490 | |
Colors in the list of coauthors
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