Daniel Arp
Daniel Arp
Verified email at tu-bs.de
Title
Cited by
Cited by
Year
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
18092014
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
3382014
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
3332013
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
1622017
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
1502015
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
1082013
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
1012015
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
732012
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
632015
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
582017
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
472018
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
262015
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
242016
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
222017
Evaluating explanation methods for deep learning in security
A Warnecke, D Arp, C Wressnegger, K Rieck
2020 IEEE European Symposium on Security and Privacy (EuroS&P), 158-174, 2020
202020
Adversarial preprocessing: Understanding and preventing image-scaling attacks in machine learning
E Quiring, D Klein, D Arp, M Johns, K Rieck
29th {USENIX} Security Symposium ({USENIX} Security 20), 1363-1380, 2020
172020
Dos and Don'ts of Machine Learning in Computer Security
D Arp, E Quiring, F Pendlebury, A Warnecke, F Pierazzi, C Wressnegger, ...
arXiv preprint arXiv:2010.09470, 2020
72020
Fraternal twins: Unifying attacks on machine learning and digital watermarking
E Quiring, D Arp, K Rieck
arXiv preprint arXiv:1703.05561, 2017
72017
Analyzing and detecting Flash-based malware using lightweight multi-path exploration
C Wressnegger, F Yamaguchi, D Arp, K Rieck
University of Göttingen, Germany, 2015
72015
Torben: Deanonymizing Tor communication using web page markers
D Arp, F Yamaguchi, K Rieck
Tech. rep. Technical Report IFI-TB-2014-01, University of Göttingen, 2014
52014
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Articles 1–20