Tim Sonnekalb

19 papers A* 1A 1C 2Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
Finding a Needle in a Haystack: Threat Analysis in Open-Source Projects.
SANER (Companion)
Bernd Gruner, Sebastian Thomas Heckner, Tim Sonnekalb, Badr-Eddine Bouhlal, Clemens-Alexander Brust
2024 — conf
User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic (short paper).
ZEUS
Badr-Eddine Bouhlal, Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust
2024 — conf
Vulnerability Prediction and Assessment Using Software Product Metrics and Machine Learning: What Does Not Work.
QRS Companion
Tim Sonnekalb, Celestino Madera Castro, Bernd Gruner, Clemens-Alexander Brust, Wolfram Amme
2023 — conf
A Static Analysis Platform for Investigating Security Trends in Repositories.
SVM
Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Thomas S. Heinze, Lynn von Kurnatowski, Andreas Schreiber, Patrick Mäder
2023 J jnl
A Static Analysis Platform for Investigating Security Trends in Repositories.
CoRR
Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Lynn von Kurnatowski, Andreas Schreiber, Thomas S. Heinze, Patrick Mäder
2023 A conf
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System.
MSR
Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust
2023 J jnl
ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language.
Comput. Secur.
Clemens-Alexander Brust, Tim Sonnekalb, Bernd Gruner
2023 C conf
TIPICAL - Type Inference for Python In Critical Accuracy Level.
SERA
Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust
2023 J jnl
TIPICAL - Type Inference for Python In Critical Accuracy Level.
CoRR
Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust
2022 J jnl
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System.
CoRR
Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust
2022 J jnl
Deep security analysis of program code.
Empir. Softw. Eng.
Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder
2022 A* conf
Generalizability of Code Clone Detection on CodeBERT.
ASE
Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder
2022 J jnl
Generalizability of Code Clone Detection on CodeBERT.
CoRR
Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder
2021 — conf
Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps.
IPAW
Andreas Schreiber, Tim Sonnekalb, Thomas S. Heinze, Lynn von Kurnatowski, Jesús M. González-Barahona, Heather S. Packer
2021 J jnl
ROMEO: Exploring Juliet through the Lens of Assembly Language.
CoRR
Clemens-Alexander Brust, Bernd Gruner, Tim Sonnekalb
2021 C conf
Towards Visual Analytics Dashboards for Provenance-driven Static Application Security Testing.
VizSec
Andreas Schreiber, Tim Sonnekalb, Lynn von Kurnatowski
2020 J jnl
Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode.
Softwaretechnik-Trends
Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder
2019 — conf
Machine-learning supported vulnerability detection in source code.
ESEC/SIGSOFT FSE
Tim Sonnekalb
2019 — conf
Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption.
WF-IoT
Tim Sonnekalb, Sergio Lucia