Steven Arzt
Steven Arzt
Bestätigte E-Mail-Adresse bei sit.fraunhofer.de
TitelZitiert vonJahr
Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps
S Arzt, S Rasthofer, C Fritz, E Bodden, A Bartel, J Klein, Y Le Traon, ...
Acm Sigplan Notices 49 (6), 259-269, 2014
13942014
Iccta: Detecting inter-component privacy leaks in android apps
L Li, A Bartel, TF Bissyandé, J Klein, Y Le Traon, S Arzt, S Rasthofer, ...
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015
4072015
A machine-learning approach for classifying and categorizing android sources and sinks.
S Rasthofer, S Arzt, E Bodden
NDSS 14, 1125, 2014
2692014
Mining apps for abnormal usage of sensitive data
V Avdiienko, K Kuznetsov, A Gorla, A Zeller, S Arzt, S Rasthofer, ...
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015
1792015
Highly precise taint analysis for android applications
C Fritz, S Arzt, S Rasthofer, E Bodden, A Bartel, J Klein, Y Le Traon, ...
872013
Harvesting Runtime Values in Android Applications That Feature Anti-Analysis Techniques.
S Rasthofer, S Arzt, M Miltenberger, E Bodden
NDSS, 2016
842016
Droidforce: Enforcing complex, data-centric, system-wide policies in android
S Rasthofer, S Arzt, E Lovat, E Bodden
2014 Ninth International Conference on Availability, Reliability and …, 2014
802014
I know what leaked in your pocket: uncovering privacy leaks on Android Apps with Static Taint Analysis
L Li, A Bartel, J Klein, YL Traon, S Arzt, S Rasthofer, E Bodden, D Octeau, ...
arXiv preprint arXiv:1404.7431, 2014
802014
Susi: A tool for the fully automated classification and categorization of android sources and sinks
S Arzt, S Rasthofer, E Bodden
University of Darmstadt, Tech. Rep. TUDCS-2013-0114, 2013
462013
StubDroid: automatic inference of precise data-flow summaries for the android framework
S Arzt, E Bodden
2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE …, 2016
372016
Instrumenting android and java applications as easy as abc
S Arzt, S Rasthofer, E Bodden
International Conference on Runtime Verification, 364-381, 2013
372013
Reviser: efficiently updating IDE-/IFDS-based data-flow analyses in response to incremental program changes
S Arzt, E Bodden
Proceedings of the 36th International Conference on Software Engineering …, 2014
332014
Making malory behave maliciously: Targeted fuzzing of android execution environments
S Rasthofer, S Arzt, S Triller, M Pradel
2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE …, 2017
312017
Towards secure integration of cryptographic software
S Arzt, S Nadi, K Ali, E Bodden, S Erdweg, M Mezini
2015 ACM International Symposium on New Ideas, New Paradigms, and …, 2015
242015
Harvesting runtime data in android applications for identifying malware and enhancing code analysis
S Rasthofer, S Arzt, M Miltenberger, E Bodden
Technische Universität Darmstadt2015, 2015
162015
Using targeted symbolic execution for reducing false-positives in dataflow analysis
S Arzt, S Rasthofer, R Hahn, E Bodden
Proceedings of the 4th ACM SIGPLAN International Workshop on State of the …, 2015
142015
Droidsearch: A tool for scaling android app triage to real-world app stores
S Rasthofer, S Arzt, M Kolhagen, B Pfretzschner, S Huber, E Bodden, ...
2015 Science and Information Conference (SAI), 247-256, 2015
122015
The Soot-based Toolchain For Analyzing Android Apps
S Arzt, S Rasthofer, E Bodden
112017
Denial-of-app attack: inhibiting the installation of android apps on stock phones
S Arzt, S Huber, S Rasthofer, E Bodden
Proceedings of the 4th ACM Workshop on Security and Privacy in Smartphones …, 2014
112014
How useful are existing monitoring languages for securing Android apps?
S Arzt, K Falzon, A Follner, S Rasthofer, E Bodden, V Stolz
Software Engineering 2013-Workshopband, 2013
112013
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