Laskov, Pavel

15 publications

ECML-PKDD 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

ICML 2012 Poisoning Attacks Against Support Vector Machines Battista Biggio, Blaine Nelson, Pavel Laskov

JMLR 2012 Security Analysis of Online Centroid Anomaly Detection Marius Kloft, Pavel Laskov

ACML 2011 Microbagging Estimators: An Ensemble Approach to Distance-Weighted Classifiers Blaine Nelson, Battista Biggio, Pavel Laskov

ACML 2011 Support Vector Machines Under Adversarial Label Noise Battista Biggio, Blaine Nelson, Pavel Laskov

MLJ 2010 Machine Learning in Adversarial Environments Pavel Laskov, Richard Lippmann

AISTATS 2010 Online Anomaly Detection Under Adversarial Impact Marius Kloft, Pavel Laskov

NeurIPS 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Pavel Laskov, Klaus-Robert Müller, Alexander Zien, Sören Sonnenburg

JMLR 2008 Linear-Time Computation of Similarity Measures for Sequential Data Konrad Rieck, Pavel Laskov

ICML 2008 Stopping Conditions for Exact Computation of Leave-One-Out Error in Support Vector Machines Vojtech Franc, Pavel Laskov, Klaus-Robert Müller

NeurIPS 2006 Computation of Similarity Measures for Sequential Data Using Generalized Suffix Trees Konrad Rieck, Pavel Laskov, Sören Sonnenburg

JMLR 2006 Incremental Support Vector Learning: Analysis, Implementation and Applications Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller

JMLR 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

MLJ 2002 Feasible Direction Decomposition Algorithms for Training Support Vector Machines Pavel Laskov

NeurIPS 1999 An Improved Decomposition Algorithm for Regression Support Vector Machines Pavel Laskov