| 2022 | ITiCSE | Towards Understanding the Skill Gap in Cybersecurity. | Franois Goupil, Pavel Laskov, Irdin Pekaric, Michael Felderer, Alexander Drr, Frdric Thiesse |
| 2014 | SP | Practical Evasion of a Learning-Based Classifier: A Case Study. | Nedim Srndic, Pavel Laskov |
| 2013 | NDSS | Detection of Malicious PDF Files Based on Hierarchical Document Structure. | Nedim Srndic, Pavel Laskov |
| 2012 | ICML | Poisoning Attacks against Support Vector Machines. | Battista Biggio, Blaine Nelson, Pavel Laskov |
| 2011 | ACSAC | Static detection of malicious JavaScript-bearing PDF documents. | Pavel Laskov, Nedim Srndic |
| 2011 | CCS | Understanding the risk factors of learning in adversarial environments. | Blaine Nelson, Battista Biggio, Pavel Laskov |
| 2010 | SAC | TokDoc: a self-healing web application firewall. | Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov |
| 2010 | SAC | Botzilla: detecting the "phoning home" of malicious software. | Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov |
| 2009 | CCS | A framework for quantitative security analysis of machine learning. | Pavel Laskov, Marius Kloft |
| 2009 | CRITIS | Cyber-Critical Infrastructure Protection Using Real-Time Payload-Based Anomaly Detection. | Patrick Dssel, Christian Gehl, Pavel Laskov, Jens-Uwe Buer, Christof Strmann, Jan Kstner |
| 2009 | GI | Sicherer Umgang mit sensiblen Daten - technische Prvention und Reaktionen auf Datenschutzverletzungen. | Ulrich Greveler, Pavel Laskov, Sebastian Pape |
| 2008 | CCS | Automatic feature selection for anomaly detection. | Marius Kloft, Ulf Brefeld, Patrick Dssel, Christian Gehl, Pavel Laskov |
| 2008 | DIMVA | Learning and Classification of Malware Behavior. | Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Dssel, Pavel Laskov |
| 2008 | ICISS | Incorporation of Application Layer Protocol Syntax into Anomaly Detection. | Patrick Dssel, Christian Gehl, Pavel Laskov, Konrad Rieck |
| 2008 | ICML | Stopping conditions for exact computation of leave-one-out error in support vector machines. | Vojtech Franc, Pavel Laskov, Klaus-Robert Mller |
| 2006 | DIMVA | Detecting Unknown Network Attacks Using Language Models. | Konrad Rieck, Pavel Laskov |
| 2005 | ICIAP | Learning Intrusion Detection: Supervised or Unsupervised?. | Pavel Laskov, Patrick Dssel, Christin Schfer, Konrad Rieck |
| 2004 | DIMVA | Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines. | Pavel Laskov, Christin Schfer, Igor V. Kotenko |
| 2004 | ESANN | Using classification to determine the number of finger strokes on a multi-touch tactile device. | Caspar von Wrede, Pavel Laskov |
| 2001 | BMVC | Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation. | Pavel Laskov, Chandra Kambhamettu |
| 1999 | ICIAP | Distributed Output Encoding for Multi-Class Pattern Recognition. | Roman Erenshteyn, Pavel Laskov, David M. Saxe, Richard A. Foulds |
| 1996 | ICPR | Recognition approach to gesture language understanding. | Roman Erenshteyn, Pavel Laskov, Richard A. Foulds, Lynn Messing, Garland Stern |