| 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 | 1227 | 2014 |
| 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 | 259 | 2013 |
| 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 | 209 | 2014 |
| 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 | 89 | 2015 |
| 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, 2017 | 83 | 2017 |
| Mobile-Sandbox: combining static and dynamic analysis with machine-learning techniques M Spreitzenbarth, T Schreck, F Echtler, D Arp, J Hoffmann International Journal of Information Security 14 (2), 141-153, 2015 | 80 | 2015 |
| A close look on n-grams in intrusion detection: anomaly detection vs. classification C Wressnegger, G Schwenk, D Arp, K Rieck Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013 | 80 | 2013 |
| Real-time multi-human tracking using a probability hypothesis density filter and multiple detectors V Eiselein, D Arp, M Pätzold, T Sikora 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based …, 2012 | 63 | 2012 |
| Privacy threats through ultrasonic side channels on mobile devices D Arp, E Quiring, C Wressnegger, K Rieck 2017 IEEE European Symposium on Security and Privacy (EuroS&P), 35-47, 2017 | 40 | 2017 |
| Pulsar: Stateful Black-Box Fuzzing of Proprietary Network Protocols H Gascon, C Wressnegger, F Yamaguchi, D Arp, K Rieck International Conference on Security and Privacy in Communication Systems …, 2015 | 34 | 2015 |
| Forgotten siblings: Unifying attacks on machine learning and digital watermarking E Quiring, D Arp, K Rieck 2018 IEEE European Symposium on Security and Privacy (EuroS&P), 488-502, 2018 | 20 | 2018 |
| Torben: A practical side-channel attack for deanonymizing tor communication D Arp, F Yamaguchi, K Rieck Proceedings of the 10th ACM Symposium on Information, Computer and …, 2015 | 20 | 2015 |
| Comprehensive analysis and detection of flash-based malware C Wressnegger, F Yamaguchi, D Arp, K Rieck International Conference on Detection of Intrusions and Malware, and …, 2016 | 18 | 2016 |
| Mining attributed graphs for threat intelligence H Gascon, B Grobauer, T Schreck, L Rist, D Arp, K Rieck Proceedings of the Seventh ACM on Conference on Data and Application …, 2017 | 11 | 2017 |
| Fraternal twins: Unifying attacks on machine learning and digital watermarking E Quiring, D Arp, K Rieck arXiv preprint arXiv:1703.05561, 2017 | 6 | 2017 |
| Analyzing and detecting Flash-based malware using lightweight multi-path exploration C Wressnegger, F Yamaguchi, D Arp, K Rieck University of Göttingen, Germany, 2015 | 4 | 2015 |
| Torben: Deanonymizing Tor communication using web page markers D Arp, F Yamaguchi, K Rieck Technical Report IFI-TB-2014-01, University of Göttingen, 2014 | 3 | 2014 |
| Bat in the Mobile: A Study on Ultrasonic Device Tracking D Arp, E Quiring, C Wressnegger, K Rieck Computer Science Report 2, 2016 | 2 | 2016 |
| PULSAR: Stateful Black-Box Fuzzing of Proprietary Network Protocols D Arp, K Rieck Security and Privacy in Communication Networks: 11th International …, 2016 | 1 | 2016 |
| Efficient and Explainable Detection of Mobile Malware with Machine Learning D Arp | | 2019 |
Konrad RieckProfessor of Computer Science, TU BraunschweigBestätigte E-Mail-Adresse bei tu-bs.de
