Steven Arzt

Orcid: 0000-0002-5807-9431

According to our database1, Steven Arzt authored at least 33 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods : An Application to the Android Framework for Data Leak Detection.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Extensible and Scalable Architecture for Hybrid Analysis.
Proceedings of the 12th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis, 2023

Sensitive and Personal Data: What Exactly Are You Talking About?
Proceedings of the 10th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2023

Benchmarking the Benchmarks.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022
Security code smells in apps: are we getting better?
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021
User-Centered Design of Visualizations for Software Vulnerability Reports.
Proceedings of the IEEE Symposium on Visualization for Cyber Security, 2021

Security and quality: two sides of the same coin?
Proceedings of the SOAP@PLDI 2021: Proceedings of the 10th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis, 2021

Sustainable Solving: Reducing The Memory Footprint of IFDS-Based Data Flow Analyses Using Intelligent Garbage Collection.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Tracing Contacts With Mobile Phones to Curb the Pandemic: Topics and Stances in People's Online Comments About the Official German Contact-Tracing App.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
DFarm: massive-scaling dynamic Android app analysis on real hardware.
Proceedings of the MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems, 2020

2017
Static Data Flow Analysis for Android Applications.
PhD thesis, 2017


Making malory behave maliciously: targeted fuzzing of android execution environments.
Proceedings of the 39th International Conference on Software Engineering, 2017

The Soot-Based Toolchain for Analyzing Android Apps.
Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

2016
Harvester.
Datenschutz und Datensicherheit, 2016

Towards cross-platform cross-language analysis with soot.
Proceedings of the 5th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis, 2016

Harvesting Runtime Values in Android Applications That Feature Anti-Analysis Techniques.
Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

StubDroid: automatic inference of precise data-flow summaries for the android framework.
Proceedings of the 38th International Conference on Software Engineering, 2016

Statische Datenflussanalyse für Android-Anwendungen.
Proceedings of the Ausgezeichnete Informatikdissertationen 2016, 2016

Reverse Engineering Android Apps With CodeInspect (invited paper).
Proceedings of the 1st International Workshop on Innovations in Mobile Privacy and Security, 2016

Detecting Misuse of Google Cloud Messaging in Android Badware.
Proceedings of the 6th Workshop on Security and Privacy in Smartphones and Mobile Devices, 2016

2015
Using targeted symbolic execution for reducing false-positives in dataflow analysis.
Proceedings of the 4th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis, 2015

Towards secure integration of cryptographic software.
Proceedings of the 2015 ACM International Symposium on New Ideas, 2015

Mining Apps for Abnormal Usage of Sensitive Data.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

IccTA: Detecting Inter-Component Privacy Leaks in Android Apps.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014
I know what leaked in your pocket: uncovering privacy leaks on Android Apps with Static Taint Analysis.
CoRR, 2014

FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps.
Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

A Machine-learning Approach for Classifying and Categorizing Android Sources and Sinks.
Proceedings of the 21st Annual Network and Distributed System Security Symposium, 2014

Reviser: efficiently updating IDE-/IFDS-based data-flow analyses in response to incremental program changes.
Proceedings of the 36th International Conference on Software Engineering, 2014

Denial-of-App Attack: Inhibiting the Installation of Android Apps on Stock Phones.
Proceedings of the 4th ACM Workshop on Security and Privacy in Smartphones & Mobile Devices, 2014

DroidForce: Enforcing Complex, Data-centric, System-wide Policies in Android.
Proceedings of the Ninth International Conference on Availability, 2014

2013
How Useful Are Existing Monitoring Languages for Securing Android Apps?
Proceedings of the Software Engineering 2013 - Workshopband (inkl. Doktorandensymposium), Fachtagung des GI-Fachbereichs Softwaretechnik, 26. Februar, 2013

Instrumenting Android and Java Applications as Easy as abc.
Proceedings of the Runtime Verification - 4th International Conference, 2013


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