| Poisoning attacks against support vector machines B Biggio, B Nelson, P Laskov arXiv preprint arXiv:1206.6389, 2012 | 2399 | 2012 |
| Evasion attacks against machine learning at test time B Biggio, I Corona, D Maiorca, B Nelson, N Šrndić, P Laskov, G Giacinto, ... Joint European conference on machine learning and knowledge discovery in …, 2013 | 2144 | 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 | 959 | 2008 |
| Support vector machines under adversarial label noise B Biggio, B Nelson, P Laskov Asian conference on machine learning, 97-112, 2011 | 572 | 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 | 521 | 2006 |
| Practical Evasion of a Learning-Based Classifier: A Case Study N Šrndic, P Laskov | 504* | |
| Learning intrusion detection: supervised or unsupervised? P Laskov, P Düssel, C Schäfer, K Rieck International Conference on Image Analysis and Processing, 50-57, 2005 | 437 | 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 | 365 | 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 MÞller Journal of Machine Learning Research 5 (Jul), 777-800, 2004 | 362 | 2004 |
| 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 | 320 | 2023 |
| Static detection of malicious JavaScript-bearing PDF documents P Laskov, N Šrndić Proceedings of the 27th annual computer security applications conference …, 2011 | 270 | 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 | 262 | 2013 |
| Online anomaly detection under adversarial impact M Kloft, P Laskov Proceedings of the thirteenth international conference on artificial …, 2010 | 215 | 2010 |
| 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 | 161 | 2003 |
| Machine learning in adversarial environments P Laskov, R Lippmann Machine learning 81 (2), 115-119, 2010 | 155 | 2010 |
| 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 | 147* | 2004 |
| Linear-Time Computation of Similarity Measures for Sequential Data. K Rieck, P Laskov Journal of Machine Learning Research 9 (1), 2008 | 142 | 2008 |
| Language models for detection of unknown attacks in network traffic K Rieck, P Laskov Journal in Computer Virology 2 (4), 243-256, 2007 | 141 | 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 |
| Hidost: a static machine-learning-based detector of malicious files N Šrndić, P Laskov EURASIP Journal on Information Security 2016 (1), 22, 2016 | 130 | 2016 |
Konrad RieckTechnische Universität BerlinVerified email at tu-berlin.de
