Pavel Laskov

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 14

Top Topics

Sparsely Connected

Negative Examples

Machine Learning

Top Venues

EURASIP J. Inf. Secur.

Dagstuhl Reports

Publications

Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. CoRR (2023)
Sven Dietrich, Frank Kargl, Hartmut König, Pavel Laskov, Artur Hermann
Network Attack Detection and Defense - AI-Powered Threats and Responses (Dagstuhl Seminar 23431). Dagstuhl Reports 13 (10) (2023)
Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. EuroS&P (2023)
Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova
SoK: The Impact of Unlabelled Data in Cyberthreat Detection. CoRR (2022)
Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco
The Role of Machine Learning in Cybersecurity. CoRR (2022)
Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, Antonio Emanuele Cinà
Security of Machine Learning (Dagstuhl Seminar 22281). Dagstuhl Reports 12 (7) (2022)
François Goupil, Pavel Laskov, Irdin Pekaric, Michael Felderer, Alexander Dürr, Frédéric Thiesse
Towards Understanding the Skill Gap in Cybersecurity. CoRR (2022)
Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova
SoK: The Impact of Unlabelled Data in Cyberthreat Detection. EuroS&P (2022)
Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
François Goupil, Pavel Laskov, Irdin Pekaric, Michael Felderer, Alexander Dürr, Frédéric Thiesse
Towards Understanding the Skill Gap in Cybersecurity. ITiCSE (1) (2022)
Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. CoRR (2022)
Michele Russo, Nedim Srndic, Pavel Laskov
Detection of illicit cryptomining using network metadata. EURASIP J. Inf. Secur. 2021 (1) (2021)
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli
Evasion Attacks against Machine Learning at Test Time. CoRR (2017)
Nedim Srndic, Pavel Laskov
Hidost: a static machine-learning-based detector of malicious files. EURASIP J. Inf. Secur. 2016 (2016)
Nedim Srndic, Pavel Laskov
Practical Evasion of a Learning-Based Classifier: A Case Study. IEEE Symposium on Security and Privacy (2014)
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli
Evasion Attacks against Machine Learning at Test Time. ECML/PKDD (3) (2013)
Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson
Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Manifestos 3 (1) (2013)
Nedim Srndic, Pavel Laskov
Detection of Malicious PDF Files Based on Hierarchical Document Structure. NDSS (2013)
Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson
Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Reports 2 (9) (2012)
Cristian Grozea, Pavel Laskov
Anomaly Detection at "supersonic" Speed. it Inf. Technol. 54 (2) (2012)
Marius Kloft, Pavel Laskov
Security analysis of online centroid anomaly detection. J. Mach. Learn. Res. 13 (2012)
Battista Biggio, Blaine Nelson, Pavel Laskov
Poisoning Attacks against Support Vector Machines. ICML (2012)
Blaine Nelson, Battista Biggio, Pavel Laskov
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. ACML (2011)
Battista Biggio, Blaine Nelson, Pavel Laskov
Support Vector Machines Under Adversarial Label Noise. ACML (2011)
Blaine Nelson, Battista Biggio, Pavel Laskov
Understanding the risk factors of learning in adversarial environments. AISec (2011)
Pavel Laskov, Nedim Srndic
Static detection of malicious JavaScript-bearing PDF documents. ACSAC (2011)
Pavel Laskov, Richard Lippmann
Machine learning in adversarial environments. Mach. Learn. 81 (2) (2010)
Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov
TokDoc: a self-healing web application firewall. SAC (2010)
Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov
Botzilla: detecting the "phoning home" of malicious software. SAC (2010)
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)
Marius Kloft, Pavel Laskov
Online Anomaly Detection under Adversarial Impact. AISTATS (2010)
Carsten Henneges, Pavel Laskov, Endang Darmawan, Juergen Backhaus, Bernd Kammerer, Andreas Zell
A factorization method for the classification of infrared spectra. BMC Bioinform. 11 (2010)
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)
Dirk Haage, Ralph Holz, Heiko Niedermayer, Pavel Laskov
CLIO - A Cross-Layer Information Service for Overlay Network Optimization. KiVS (2009)
Ulrich Greveler, Pavel Laskov, Sebastian Pape
Sicherer Umgang mit sensiblen Daten - technische Prävention und Reaktionen auf Datenschutzverletzungen. GI Jahrestagung (2009)
Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien
Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS (2009)
Stefan Wahl, Konrad Rieck, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller
Securing IMS against novel threats. Bell Labs Tech. J. 14 (1) (2009)
Pavel Laskov, Marius Kloft
A framework for quantitative security analysis of machine learning. AISec (2009)
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. Comput. Sci. Res. Dev. 23 (1) (2009)
Konrad Rieck, Stefan Wahl, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller
A Self-learning System for Detection of Anomalous SIP Messages. IPTComm (2008)
Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Düssel, Pavel Laskov
Learning and Classification of Malware Behavior. DIMVA (2008)
Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov
Automatic feature selection for anomaly detection. AISec (2008)
Patrick Düssel, Christian Gehl, Pavel Laskov, Konrad Rieck
Incorporation of Application Layer Protocol Syntax into Anomaly Detection. ICISS (2008)
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)
Konrad Rieck, Pavel Laskov
Linear-Time Computation of Similarity Measures for Sequential Data. J. Mach. Learn. Res. 9 (2008)
Vojtech Franc, Pavel Laskov, Klaus-Robert Müller
Stopping conditions for exact computation of leave-one-out error in support vector machines. ICML (2008)
Konrad Rieck, Pavel Laskov
Language models for detection of unknown attacks in network traffic. J. Comput. Virol. 2 (4) (2007)
Pavel Laskov, Konrad Rieck, Klaus-Robert Müller
Machine Learning for Intrusion Detection. NATO ASI Mining Massive Data Sets for Security (2007)
Eric Filiol, Roland Büschkes, Pavel Laskov
Foreword. J. Comput. Virol. 2 (4) (2007)
Konrad Rieck, Pavel Laskov
Detecting Unknown Network Attacks Using Language Models. DIMVA (2006)
Konrad Rieck, Pavel Laskov, Klaus-Robert Müller
Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. DAGM-Symposium (2006)
Konrad Rieck, Pavel Laskov, Sören Sonnenburg
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS (2006)
Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller
Incremental Support Vector Learning: Analysis, Implementation and Applications. J. Mach. Learn. Res. 7 (2006)
Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller
Visualization of anomaly detection using prediction sensitivity. Sicherheit (2005)
Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck
Learning Intrusion Detection: Supervised or Unsupervised?. ICIAP (2005)
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. J. Mach. Learn. Res. 5 (2004)
Pavel Laskov, Christin Schäfer, Igor V. Kotenko
Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines. DIMVA (2004)
Caspar von Wrede, Pavel Laskov
Using classification to determine the number of finger strokes on a multi-touch tactile device. ESANN (2004)
Pavel Laskov, Christin Schäfer, Igor V. Kotenko, Klaus-Robert Müller
Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines. Prax. Inf.verarb. Kommun. 27 (4) (2004)
Pavel Laskov, Chandra Kambhamettu
Curvature-Based Algorithms for Nonrigid Motion and Correspondence Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 25 (10) (2003)
Chandra Kambhamettu, Dmitry B. Goldgof, Matthew He, Pavel Laskov
3D nonrigid motion analysis under small deformations. Image Vis. Comput. 21 (3) (2003)
David M. J. Tax, Pavel Laskov
Online SVM learning: from classification to data description and back. NNSP (2003)
Pavel Laskov
Feasible Direction Decomposition Algorithms for Training Support Vector Machines. Mach. Learn. 46 (1-3) (2002)
Pavel Laskov, Chandra Kambhamettu
Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation. BMVC (2001)
Pavel Laskov
An Improved Decomposition Algorithm for Regression Support Vector Machines. NIPS (1999)
Roman Erenshteyn, Pavel Laskov, David M. Saxe, Richard A. Foulds
Distributed Output Encoding for Multi-Class Pattern Recognition. ICIAP (1999)
Roman Erenshteyn, Pavel Laskov, Richard A. Foulds, Lynn Messing, Garland Stern
Recognition approach to gesture language understanding. ICPR (1996)