Pavel Laskov

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Konrad RieckTechnische Universität BerlinEmail verificata su tu-berlin.de
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyEmail verificata su tu-berlin.de
Battista BiggioFull Professor, University of Cagliari, ItalyEmail verificata su unica.it
Nedim ŠrndićCloudflareEmail verificata su cloudflare.com
Patrick DuesselViacomCBSEmail verificata su riskbeam.io
Marius KloftProfessor, RPTU Kaiserslautern-LandauEmail verificata su cs.uni-kl.de
Fabio RoliProfessor, University of Genova and Cagliari, ItalyEmail verificata su unige.it
Christin Schäferacs plus GmbHEmail verificata su acs-plus.de
Soeren SonnenburgMachine Learning ResearcherEmail verificata su tomtom.com
Giovanni ApruzzeseAssistant Professor, University of LiechtensteinEmail verificata su uni.li
Thorsten HolzCISPA Helmholtz Center for Information SecurityEmail verificata su cispa.de
Ulf BrefeldLeuphana Universität LüneburgEmail verificata su leuphana.de
Davide MaiorcaAssociate Professor of Computer Engineering at University of Cagliari, ItalyEmail verificata su unica.it
Igino CoronaComputer Security Researcher & Co-founder, Pluribus OneEmail verificata su pluribus-one.it
Giorgio Giacinto UniCAProfessor of Computer EngineeringEmail verificata su unica.it
David TaxAssistant professor, Delft University of TechnologyEmail verificata su tudelft.nl
Carsten WillemsPh.d. Student, Ruhr-University BochumEmail verificata su rub.de
Andreas ZiehePostdoc researcher, TU BerlinEmail verificata su cs.tu-berlin.de
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgEmail verificata su uke.de
Chandra KambhamettuProfessor of Computer Science and Director of Video/Image Modeling and Synthesis (VIMS) Lab, University of DelawareEmail verificata su udel.edu

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Pavel Laskov

University of Liechtenstein

Email verificata su uni.li - Home page

Computer Security Adversarial Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Poisoning attacks against support vector machines B Biggio, B Nelson, P Laskov arXiv preprint arXiv:1206.6389, 2012	2041	2012
Evasion attacks against machine learning at test time B Biggio, I Corona, D Maiorca, B Nelson, N Šrndić, P Laskov, G Giacinto, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013	1902	2013
Learning and classification of malware behavior K Rieck, T Holz, C Willems, P Düssel, P Laskov Detection of Intrusions and Malware, and Vulnerability Assessment, 108-125, 2008	935	2008
Support vector machines under adversarial label noise B Biggio, B Nelson, P Laskov Asian conference on machine learning, 97-112, 2011	545	2011
Incremental support vector learning: Analysis, implementation and applications. P Laskov, C Gehl, S Krüger, KR Müller, KP Bennett, ... Journal of machine learning research 7 (9), 2006	506	2006
Practical Evasion of a Learning-Based Classifier: A Case Study N Šrndic, P Laskov	493*
Learning intrusion detection: supervised or unsupervised? P Laskov, P Düssel, C Schäfer, K Rieck Image Analysis and Processing–ICIAP 2005: 13th International Conference …, 2005	397	2005
Efficient and accurate lp-norm multiple kernel learning M Kloft, U Brefeld, S Sonnenburg, P Laskov, KR Müller, A Zien Advances in neural information processing systems 22 (22), 997-1005, 2009	359	2009
A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation A Ziehe, P Laskov, G Nolte, KR MÃžller Journal of Machine Learning Research 5 (Jul), 777-800, 2004	350	2004
Static detection of malicious JavaScript-bearing PDF documents P Laskov, N Šrndić Proceedings of the 27th annual computer security applications conference …, 2011	262	2011
Detection of Malicious PDF Files Based on Hierarchical Document Structure N Šrndić, P Laskov Proceedings of the 20th Annual Network & Distributed System Security Symposium, 2013	259	2013
Online anomaly detection under adversarial impact M Kloft, P Laskov Proceedings of the thirteenth international conference on artificial …, 2010	211	2010
The role of machine learning in cybersecurity G Apruzzese, P Laskov, E Montes de Oca, W Mallouli, L Brdalo Rapa, ... Digital Threats: Research and Practice 4 (1), 1-38, 2023	201	2023
Online SVM learning: from classification to data description and back DMJ Tax, P Laskov 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat …, 2003	164	2003
Machine learning in adversarial environments P Laskov, R Lippmann Machine learning 81, 115-119, 2010	150	2010
Linear-Time Computation of Similarity Measures for Sequential Data. K Rieck, P Laskov Journal of Machine Learning Research 9 (1), 2008	147	2008
Intrusion detection in unlabeled data with quarter-sphere support vector machines I Kotenko, P Laskov, C Schäfer Proc. of the International GI Workshop on Detection of Intrusions and …, 2004	141*	2004
Language models for detection of unknown attacks in network traffic K Rieck, P Laskov Journal in Computer Virology 2, 243-256, 2007	137	2007
Non-sparse multiple kernel learning M Kloft, U Brefeld, P Laskov, S Sonnenburg NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels 4, 5, 2008	135	2008
Botzilla: detecting the" phoning home" of malicious software K Rieck, G Schwenk, T Limmer, T Holz, P Laskov Proceedings of the 2010 ACM symposium on applied computing, 1978-1984, 2010	129	2010

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