Konrad Rieck
Konrad Rieck
Dirección de correo verificada de - Página principal
Citado por
Citado por
Drebin: Effective and explainable detection of android malware in your pocket.
D Arp, M Spreitzenbarth, M Hubner, H Gascon, K Rieck, C Siemens
Ndss 14, 23-26, 2014
Automatic analysis of malware behavior using machine learning
K Rieck, P Trinius, C Willems, T Holz
Journal of computer security 19 (4), 639-668, 2011
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
Modeling and discovering vulnerabilities with code property graphs
F Yamaguchi, N Golde, D Arp, K Rieck
2014 IEEE symposium on security and privacy, 590-604, 2014
Measuring and detecting fast-flux service networks
T Holz, C Gorecki, K Rieck, FC Freiling
Proceedings of the Network & Distributed System Security Symposium, 2008
Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
Structural detection of android malware using embedded call graphs
H Gascon, F Yamaguchi, D Arp, K Rieck
Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013
Learning intrusion detection: supervised or unsupervised?
P Laskov, P Düssel, C Schäfer, K Rieck
Image Analysis and Processing–ICIAP 2005: 13th International Conference …, 2005
Yes, machine learning can be more secure! a case study on android malware detection
A Demontis, M Melis, B Biggio, D Maiorca, D Arp, K Rieck, I Corona, ...
IEEE transactions on dependable and secure computing 16 (4), 711-724, 2017
Dos and don'ts of machine learning in computer security
D Arp, E Quiring, F Pendlebury, A Warnecke, F Pierazzi, C Wressnegger, ...
31st USENIX Security Symposium (USENIX Security 22), 3971-3988, 2022
Generalized vulnerability extrapolation using abstract syntax trees
F Yamaguchi, M Lottmann, K Rieck
Proceedings of the 28th annual computer security applications conference …, 2012
Cujo: Efficient detection and prevention of drive-by-download attacks
K Rieck, T Krueger, A Dewald
VCCFinder: Finding potential vulnerabilities in open-source projects to assist code audits
H Perl, S Dechand, M Smith, D Arp, F Yamaguchi, K Rieck, S Fahl, Y Acar
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015
Automatic inference of search patterns for taint-style vulnerabilities
F Yamaguchi, A Maier, H Gascon, K Rieck
2015 IEEE Symposium on Security and Privacy, 797-812, 2015
Chucky: Exposing missing checks in source code for vulnerability discovery
F Yamaguchi, C Wressnegger, H Gascon, K Rieck
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications …, 2013
Vulnerability extrapolation: Assisted discovery of vulnerabilities using machine learning
F Yamaguchi, K Rieck
5th USENIX workshop on offensive technologies (WOOT 11), 2011
Poisoning behavioral malware clustering
B Biggio, K Rieck, D Ariu, C Wressnegger, I Corona, G Giacinto, F Roli
Proceedings of the 2014 workshop on artificial intelligent and security …, 2014
Pulsar: Stateful Black-Box Fuzzing of Proprietary Network Protocols
H Gascon, C Wressnegger, F Yamaguchi, D Arp, K Rieck
Security and Privacy in Communication Networks: 11th EAI International …, 2015
Continuous authentication on mobile devices by analysis of typing motion behavior
H Gascon, S Uellenbeck, C Wolf, K Rieck
Gesellschaft für Informatik eV, 2014
When coding style survives compilation: De-anonymizing programmers from executable binaries
A Caliskan, F Yamaguchi, E Dauber, R Harang, K Rieck, R Greenstadt, ...
arXiv preprint arXiv:1512.08546, 2015
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20