Pavel Laskov - RankMe

80 papers A* 4A 5B 6C 3Misc 5Journal 36Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial News and Lost Profits: Manipulating Headlines in LLM-Driven Algorithmic Trading. CoRR Advije Rizvani, Giovanni Apruzzese, Pavel Laskov
2025	—	`conf`	Challenges of Predictive Beamforming Using Geographical Positioning: Insights from the DeepSense Dataset. WMNC Rodion Vladimirov, Pavel Laskov
2025	J	`jnl`	Gen-Review: A Large-scale Dataset of AI-Generated (and Human-written) Peer Reviews. CoRR Luca Demetrio, Giovanni Apruzzese, Kathrin Grosse, Pavel Laskov, Emil Lupu, Vera Rimmer, Philine Widmer
2025	—	`conf`	SoK: On the Offensive Potential of AI. SaTML Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W. N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Chi En Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang
2025	—	`conf`	The Dark Side of the Web: Towards Understanding Various Data Sources in Cyber Threat Intelligence. EuroS&P (Workshops) Saskia Laura Schröer, Noé Canevascini, Irdin Pekaric, Philine Widmer, Pavel Laskov
2025	J	`jnl`	The Dark Side of the Web: Towards Understanding Various Data Sources in Cyber Threat Intelligence. CoRR Saskia Laura Schröer, Noé Canevascini, Irdin Pekaric, Philine Widmer, Pavel Laskov
2025	—	`conf`	The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems powered by Deep Learning. CODASPY Advije Rizvani, Giovanni Apruzzese, Pavel Laskov
2025	J	`jnl`	The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems powered by Deep Learning. CoRR Advije Rizvani, Giovanni Apruzzese, Pavel Laskov
2025	J	`jnl`	Using a Stack to Find an AI Needle: Topic Modeling for Cyber Threat Intelligence. Digit. Threat. Res. Pract. Saskia Laura Schröer, Jeremy D. Seideman, Shoufu Luo, Giovanni Apruzzese, Sven Dietrich, Pavel Laskov
2024	J	`jnl`	Emerging Security Challenges of Large Language Models. CoRR Hervé Debar, Sven Dietrich, Pavel Laskov, Emil C. Lupu, Eirini Ntoutsi
2024	J	`jnl`	SoK: On the Offensive Potential of AI. CoRR Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W. N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadhwa-Brown, Isabel Wagner, Gang Wang
2023	J	`jnl`	Network Attack Detection and Defense - AI-Powered Threats and Responses (Dagstuhl Seminar 23431). Dagstuhl Reports Sven Dietrich, Frank Kargl, Hartmut König, Pavel Laskov, Artur Hermann
2023	A	`conf`	SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. EuroS&P Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
2023	J	`jnl`	SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. CoRR Giovanni Apruzzese, Pavel Laskov, Johannes Schneider
2023	J	`jnl`	The Role of Machine Learning in Cybersecurity. DTRAP Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco
2022	J	`jnl`	Security of Machine Learning (Dagstuhl Seminar 22281). Dagstuhl Reports Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, Antonio Emanuele Cinà
2022	A	`conf`	SoK: The Impact of Unlabelled Data in Cyberthreat Detection. EuroS&P Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova
2022	J	`jnl`	SoK: The Impact of Unlabelled Data in Cyberthreat Detection. CoRR Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova
2022	J	`jnl`	The Role of Machine Learning in Cybersecurity. CoRR Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco
2022	—	`conf`	Towards Understanding the Skill Gap in Cybersecurity. ITiCSE (1) François Goupil, Pavel Laskov, Irdin Pekaric, Michael Felderer, Alexander Dürr, Frédéric Thiesse
2022	J	`jnl`	Towards Understanding the Skill Gap in Cybersecurity. CoRR François Goupil, Pavel Laskov, Irdin Pekaric, Michael Felderer, Alexander Dürr, Frédéric Thiesse
2022	J	`jnl`	Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. CoRR Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
2022	J	`jnl`	Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples. IEEE Trans. Netw. Serv. Manag. Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov
2021	J	`jnl`	Detection of illicit cryptomining using network metadata. EURASIP J. Inf. Secur. Michele Russo, Nedim Srndic, Pavel Laskov
2017	J	`jnl`	Evasion Attacks against Machine Learning at Test Time. CoRR Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli
2016	J	`jnl`	Hidost: a static machine-learning-based detector of malicious files. EURASIP J. Inf. Secur. Nedim Srndic, Pavel Laskov
2014	A*	`conf`	Practical Evasion of a Learning-Based Classifier: A Case Study. IEEE Symposium on Security and Privacy Nedim Srndic, Pavel Laskov
2013	A*	`conf`	Detection of Malicious PDF Files Based on Hierarchical Document Structure. NDSS Nedim Srndic, Pavel Laskov
2013	—	`conf`	Evasion Attacks against Machine Learning at Test Time. ECML/PKDD (3) Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli
2013	J	`jnl`	Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Manifestos Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson
2012	J	`jnl`	Anomaly Detection at "supersonic" Speed. it Inf. Technol. Cristian Grozea, Pavel Laskov
2012	J	`jnl`	Machine Learning Methods for Computer Security (Dagstuhl Perspectives Workshop 12371). Dagstuhl Reports Anthony D. Joseph, Pavel Laskov, Fabio Roli, J. Doug Tygar, Blaine Nelson
2012	A*	`conf`	Poisoning Attacks against Support Vector Machines. ICML Battista Biggio, Blaine Nelson, Pavel Laskov
2012	J	`jnl`	Security analysis of online centroid anomaly detection. J. Mach. Learn. Res. Marius Kloft, Pavel Laskov
2011	C	`conf`	Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers. ACML Blaine Nelson, Battista Biggio, Pavel Laskov
2011	A	`conf`	Static detection of malicious JavaScript-bearing PDF documents. ACSAC Pavel Laskov, Nedim Srndic
2011	C	`conf`	Support Vector Machines Under Adversarial Label Noise. ACML Battista Biggio, Blaine Nelson, Pavel Laskov
2011	—	`conf`	Understanding the risk factors of learning in adversarial environments. AISec Blaine Nelson, Battista Biggio, Pavel Laskov
2010	J	`jnl`	A factorization method for the classification of infrared spectra. BMC Bioinform. Carsten Henneges, Pavel Laskov, Endang Darmawan, Juergen Backhaus, Bernd Kammerer, Andreas Zell
2010	Misc	`conf`	Botzilla: detecting the "phoning home" of malicious software. SAC Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorsten Holz, Pavel Laskov
2010	—	`conf`	FPGA vs. Multi-core CPUs vs. GPUs: Hands-On Experience with a Sorting Application. Facing the Multicore-Challenge Cristian Grozea, Zorana Bankovic, Pavel Laskov
2010	J	`jnl`	Machine learning in adversarial environments. Mach. Learn. Pavel Laskov, Richard Lippmann
2010	A	`conf`	Online Anomaly Detection under Adversarial Impact. AISTATS Marius Kloft, Pavel Laskov
2010	Misc	`conf`	TokDoc: a self-healing web application firewall. SAC Tammo Krueger, Christian Gehl, Konrad Rieck, Pavel Laskov
2009	—	`conf`	A framework for quantitative security analysis of machine learning. AISec Pavel Laskov, Marius Kloft
2009	—	`conf`	CLIO - A Cross-Layer Information Service for Overlay Network Optimization. KiVS Dirk Haage, Ralph Holz, Heiko Niedermayer, Pavel Laskov
2009	C	`conf`	Cyber-Critical Infrastructure Protection Using Real-Time Payload-Based Anomaly Detection. CRITIS Patrick Düssel, Christian Gehl, Pavel Laskov, Jens-Uwe Bußer, Christof Störmann, Jan Kästner
2009	—	`conf`	Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien
2009	J	`jnl`	Network attack detection and defense - Manifesto of the Dagstuhl Perspective Workshop, March 2nd-6th, 2008. Comput. Sci. Res. Dev. Georg Carle, Falko Dressler, Richard A. Kemmerer, Hartmut König, Christopher Kruegel, Pavel Laskov
2009	J	`jnl`	Securing IMS against novel threats. Bell Labs Tech. J. Stefan Wahl, Konrad Rieck, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller
2009	—	`conf`	Sicherer Umgang mit sensiblen Daten - technische Prävention und Reaktionen auf Datenschutzverletzungen. GI Jahrestagung Ulrich Greveler, Pavel Laskov, Sebastian Pape
2008	—	`conf`	08102 Manifesto -- Perspectives Workshop: Network Attack Detection and Defense. Network Attack Detection and Defense Georg Carle, Falko Dressler, Richard A. Kemmerer, Hartmut König, Christopher Kruegel, Pavel Laskov
2008	—	`conf`	A Self-learning System for Detection of Anomalous SIP Messages. IPTComm Konrad Rieck, Stefan Wahl, Pavel Laskov, Peter Domschitz, Klaus-Robert Müller
2008	—	`conf`	Automatic feature selection for anomaly detection. AISec Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov
2008	Misc	`conf`	Incorporation of Application Layer Protocol Syntax into Anomaly Detection. ICISS Patrick Düssel, Christian Gehl, Pavel Laskov, Konrad Rieck
2008	B	`conf`	Learning and Classification of Malware Behavior. DIMVA Konrad Rieck, Thorsten Holz, Carsten Willems, Patrick Düssel, Pavel Laskov
2008	J	`jnl`	Linear-Time Computation of Similarity Measures for Sequential Data. J. Mach. Learn. Res. Konrad Rieck, Pavel Laskov
2008	A*	`conf`	Stopping conditions for exact computation of leave-one-out error in support vector machines. ICML Vojtech Franc, Pavel Laskov, Klaus-Robert Müller
2007	J	`jnl`	Foreword. J. Comput. Virol. Eric Filiol, Roland Büschkes, Pavel Laskov
2007	J	`jnl`	Language models for detection of unknown attacks in network traffic. J. Comput. Virol. Konrad Rieck, Pavel Laskov
2007	—	`conf`	Machine Learning for Intrusion Detection. NATO ASI Mining Massive Data Sets for Security Pavel Laskov, Konrad Rieck, Klaus-Robert Müller
2006	—	`conf`	Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS Konrad Rieck, Pavel Laskov, Sören Sonnenburg
2006	B	`conf`	Detecting Unknown Network Attacks Using Language Models. DIMVA Konrad Rieck, Pavel Laskov
2006	B	`ed.`	Detection of Intrusions and Malware & Vulnerability Assessment, Third International Conference, DIMVA 2006, Berlin, Germany, July 13-14, 2006, Proceedings DIMVA Roland Büschkes, Pavel Laskov
2006	—	`conf`	Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels. DAGM-Symposium Konrad Rieck, Pavel Laskov, Klaus-Robert Müller
2006	J	`jnl`	Incremental Support Vector Learning: Analysis, Implementation and Applications. J. Mach. Learn. Res. Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller
2005	Misc	`conf`	Learning Intrusion Detection: Supervised or Unsupervised?. ICIAP Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck
2005	—	`conf`	Visualization of anomaly detection using prediction sensitivity. Sicherheit Pavel Laskov, Konrad Rieck, Christin Schäfer, Klaus-Robert Müller
2004	J	`jnl`	A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation. J. Mach. Learn. Res. Andreas Ziehe, Pavel Laskov, Guido Nolte, Klaus-Robert Müller
2004	J	`jnl`	Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines. Prax. Inf.verarb. Kommun. Pavel Laskov, Christin Schäfer, Igor V. Kotenko, Klaus-Robert Müller
2004	B	`conf`	Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines. DIMVA Pavel Laskov, Christin Schäfer, Igor V. Kotenko
2004	B	`conf`	Using classification to determine the number of finger strokes on a multi-touch tactile device. ESANN Caspar von Wrede, Pavel Laskov
2003	J	`jnl`	3D nonrigid motion analysis under small deformations. Image Vis. Comput. Chandra Kambhamettu, Dmitry B. Goldgof, Matthew He, Pavel Laskov
2003	J	`jnl`	Curvature-Based Algorithms for Nonrigid Motion and Correspondence Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Pavel Laskov, Chandra Kambhamettu
2003	—	`conf`	Online SVM learning: from classification to data description and back. NNSP David M. J. Tax, Pavel Laskov
2002	J	`jnl`	Feasible Direction Decomposition Algorithms for Training Support Vector Machines. Mach. Learn. Pavel Laskov
2001	A	`conf`	Comparison of 3D Algorithms for Non-rigid Motion and Correspondence Estimation. BMVC Pavel Laskov, Chandra Kambhamettu
1999	—	`conf`	An Improved Decomposition Algorithm for Regression Support Vector Machines. NIPS Pavel Laskov
1999	Misc	`conf`	Distributed Output Encoding for Multi-Class Pattern Recognition. ICIAP Roman Erenshteyn, Pavel Laskov, David M. Saxe, Richard A. Foulds
1996	B	`conf`	Recognition approach to gesture language understanding. ICPR Roman Erenshteyn, Pavel Laskov, Richard A. Foulds, Lynn Messing, Garland Stern