Pavel Laskov

According to our database, Pavel Laskov authored at least 61 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Network Attack Detection and Defense - AI-Powered Threats and Responses (Dagstuhl Seminar 23431).

Sven Dietrich, Frank Kargl, Hartmut König, Pavel Laskov, Artur Hermann

Dagstuhl Reports, 2023

SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection.

Giovanni Apruzzese, Pavel Laskov, Johannes Schneider

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

2022

Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples.

Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov

IEEE Trans. Netw. Serv. Manag., December, 2022

Security of Machine Learning (Dagstuhl Seminar 22281).

Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, Antonio Emanuele Cinà

Dagstuhl Reports, July, 2022

The Role of Machine Learning in Cybersecurity.

Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco

CoRR, 2022

Towards Understanding the Skill Gap in Cybersecurity.

François Goupil, Pavel Laskov, Irdin Pekaric, Michael Felderer, Alexander Dürr, Frédéric Thiesse

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

SoK: The Impact of Unlabelled Data in Cyberthreat Detection.

Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova

Proceedings of the 7th IEEE European Symposium on Security and Privacy, 2022

2021

Detection of illicit cryptomining using network metadata.

Michele Russo, Nedim Srndic, Pavel Laskov

EURASIP J. Inf. Secur., 2021

2016

Hidost: a static machine-learning-based detector of malicious files.

Nedim Srndic, Pavel Laskov

EURASIP J. Inf. Secur., 2016

2014

Practical Evasion of a Learning-Based Classifier: A Case Study.

Nedim Srndic, Pavel Laskov

Proceedings of the 2014 IEEE Symposium on Security and Privacy, 2014

2013

Evasion Attacks against Machine Learning at Test Time.

Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Detection of Malicious PDF Files Based on Hierarchical Document Structure.

Nedim Srndic, Pavel Laskov

Proceedings of the 20th Annual Network and Distributed System Security Symposium, 2013

2012

Security analysis of online centroid anomaly detection.

Marius Kloft, Pavel Laskov

J. Mach. Learn. Res., 2012

Anomaly Detection at "supersonic" Speed.

Cristian Grozea, Pavel Laskov

it Inf. Technol., 2012

Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371).

Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson

Dagstuhl Reports, 2012

Poisoning Attacks against Support Vector Machines.

Battista Biggio, Blaine Nelson, Pavel Laskov

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers.

Blaine Nelson, Battista Biggio, Pavel Laskov

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Support Vector Machines Under Adversarial Label Noise.

Battista Biggio, Blaine Nelson, Pavel Laskov

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Understanding the risk factors of learning in adversarial environments.

Blaine Nelson, Battista Biggio, Pavel Laskov

Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence, 2011

Static detection of malicious JavaScript-bearing PDF documents.

Pavel Laskov, Nedim Srndic

Proceedings of the Twenty-Seventh Annual Computer Security Applications Conference, 2011

2010

Machine learning in adversarial environments.

Pavel Laskov, Richard Lippmann

Mach. Learn., 2010

Online Anomaly Detection under Adversarial Impact.

Marius Kloft, Pavel Laskov

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A factorization method for the classification of infrared spectra.

Carsten Henneges, Pavel Laskov, Endang Darmawan, Juergen Backhaus, Bernd Kammerer, Andreas Zell

BMC Bioinform., 2010

Botzilla: detecting the "phoning home" of malicious software.

Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

TokDoc: a self-healing web application firewall.

Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

FPGA vs. Multi-core CPUs vs. GPUs: Hands-On Experience with a Sorting Application.

Cristian Grozea, Zorana Bankovic, Pavel Laskov

Proceedings of the Facing the Multicore-Challenge, 2010

2009

Network attack detection and defense - Manifesto of the Dagstuhl Perspective Workshop, March 2nd-6th, 2008.

Georg Carle, Falko Dressler, Richard A. Kemmerer, Hartmut König, Christopher Kruegel, Pavel Laskov

Comput. Sci. Res. Dev., 2009

Securing IMS against novel threats.

Stefan Wahl, Konrad Rieck, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller

Bell Labs Tech. J., 2009

Efficient and Accurate Lp-Norm Multiple Kernel Learning.

Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

CLIO - A Cross-Layer Information Service for Overlay Network Optimization.

Dirk Haage, Ralph Holz, Heiko Niedermayer, Pavel Laskov

Proceedings of the Kommunikation in Verteilten Systemen (KiVS), 2009

Sicherer Umgang mit sensiblen Daten - technische Prävention und Reaktionen auf Datenschutzverletzungen.

Ulrich Greveler, Pavel Laskov, Sebastian Pape

Proceedings of the 39. Jahrestagung der Gesellschaft für Informatik, Im Focus das Leben, INFORMATIK 2009, Lübeck, Germany, September 28, 2009

Cyber-Critical Infrastructure Protection Using Real-Time Payload-Based Anomaly Detection.

Patrick Düssel, Christian Gehl, Pavel Laskov, Jens-Uwe Bußer, Christof Störmann, Jan Kästner

Proceedings of the Critical Information Infrastructures Security, 2009

A framework for quantitative security analysis of machine learning.

Pavel Laskov, Marius Kloft

Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence, 2009

2008

Linear-Time Computation of Similarity Measures for Sequential Data.

Konrad Rieck, Pavel Laskov

J. Mach. Learn. Res., 2008

A Self-learning System for Detection of Anomalous SIP Messages.

Konrad Rieck, Stefan Wahl, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller

Proceedings of the Principles, 2008

Stopping conditions for exact computation of leave-one-out error in support vector machines.

Vojtech Franc, Pavel Laskov, Klaus-Robert Müller

Proceedings of the Machine Learning, 2008

Incorporation of Application Layer Protocol Syntax into Anomaly Detection.

Patrick Düssel, Christian Gehl, Pavel Laskov, Konrad Rieck

Proceedings of the Information Systems Security, 4th International Conference, 2008

Learning and Classification of Malware Behavior.

Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Düssel, Pavel Laskov

Proceedings of the Detection of Intrusions and Malware, 2008

08102 Manifesto -- Perspectives Workshop: Network Attack Detection and Defense.

Georg Carle, Falko Dressler, Richard A. Kemmerer, Hartmut König, Christopher Kruegel, Pavel Laskov

Proceedings of the Perspectives Workshop: Network Attack Detection and Defense, 2.3., 2008

Automatic feature selection for anomaly detection.

Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov

Proceedings of the 1st ACM Workshop on Security and Artificial Intelligence, 2008

2007

Language models for detection of unknown attacks in network traffic.

Konrad Rieck, Pavel Laskov

J. Comput. Virol., 2007

Foreword.

Eric Filiol, Roland Büschkes, Pavel Laskov

J. Comput. Virol., 2007

Machine Learning for Intrusion Detection.

Pavel Laskov, Konrad Rieck, Klaus-Robert Müller

Proceedings of the Mining Massive Data Sets for Security, 2007

2006

Incremental Support Vector Learning: Analysis, Implementation and Applications.

Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller

J. Mach. Learn. Res., 2006

Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees.

Konrad Rieck, Pavel Laskov, Sören Sonnenburg

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Detecting Unknown Network Attacks Using Language Models.

Konrad Rieck, Pavel Laskov

Proceedings of the Detection of Intrusions and Malware & Vulnerability Assessment, 2006

Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels.

Konrad Rieck, Pavel Laskov, Klaus-Robert Müller

Proceedings of the Pattern Recognition, 2006

2005

Visualization of anomaly detection using prediction sensitivity.

Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller

Proceedings of the Sicherheit 2005: Sicherheit, 2005

Learning Intrusion Detection: Supervised or Unsupervised?.

Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck

Proceedings of the Image Analysis and Processing, 2005

2004

Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines.

Pavel Laskov, Christin Schäfer, Igor V. Kotenko, Klaus-Robert Müller

Prax. Inf.verarb. Kommun., 2004

A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation.

Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller

J. Mach. Learn. Res., 2004

Using classification to determine the number of finger strokes on a multi-touch tactile device.

Caspar von Wrede, Pavel Laskov

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines.

Pavel Laskov, Christin Schäfer, Igor V. Kotenko

Proceedings of the Detection of Intrusions and Malware & Vulnerability Assessment, 2004

2003

Curvature-Based Algorithms for Nonrigid Motion and Correspondence Estimation.

Pavel Laskov, Chandra Kambhamettu

IEEE Trans. Pattern Anal. Mach. Intell., 2003

3D nonrigid motion analysis under small deformations.

Chandra Kambhamettu, Dmitry B. Goldgof, Matthew He, Pavel Laskov

Image Vis. Comput., 2003

Online SVM learning: from classification to data description and back.

David M. J. Tax, Pavel Laskov

Proceedings of the NNSP 2003, 2003

2002

Feasible Direction Decomposition Algorithms for Training Support Vector Machines.

Pavel Laskov

Mach. Learn., 2002

2001

Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation.

Pavel Laskov, Chandra Kambhamettu

Proceedings of the British Machine Vision Conference 2001, 2001

1999

An Improved Decomposition Algorithm for Regression Support Vector Machines.

Pavel Laskov

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Distributed Output Encoding for Multi-Class Pattern Recognition.

Roman Erenshteyn, Pavel Laskov, David M. Saxe, Richard A. Foulds

Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999

1996

Recognition approach to gesture language understanding.

Roman Erenshteyn, Pavel Laskov, Richard A. Foulds, Lynn Messing, Garland Stern

Proceedings of the 13th International Conference on Pattern Recognition, 1996