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2020 – today
- 2024
[c10]Bernd Gruner, Sebastian Thomas Heckner, Tim Sonnekalb, Badr-Eddine Bouhlal, Clemens-Alexander Brust:
Finding a Needle in a Haystack: Threat Analysis in Open-Source Projects. SANER (Companion) 2024: 141-145- [c9]Badr-Eddine Bouhlal, Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust:
User-agent as a Cyber Intrusion Artifact: Detection of APT Activity using minimal Anomalies on the User-agent String Traffic (short paper). ZEUS 2024: 63-72 - 2023
- [j3]Clemens-Alexander Brust
, Tim Sonnekalb, Bernd Gruner:
ROMEO: A binary vulnerability detection dataset for exploring Juliet through the lens of assembly language. Comput. Secur. 128: 103165 (2023) - [c8]Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Thomas S. Heinze, Lynn von Kurnatowski, Andreas Schreiber, Patrick Mäder:
A Static Analysis Platform for Investigating Security Trends in Repositories. SVM 2023: 1-5 - [c7]Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust:
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. MSR 2023: 158-169 - [c6]Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust:
TIPICAL - Type Inference for Python In Critical Accuracy Level. SERA 2023: 16-21 - [i5]Tim Sonnekalb, Christopher-Tobias Knaust, Bernd Gruner, Clemens-Alexander Brust, Lynn von Kurnatowski, Andreas Schreiber, Thomas S. Heinze, Patrick Mäder:
A Static Analysis Platform for Investigating Security Trends in Repositories. CoRR abs/2304.01725 (2023) - [i4]Jonathan Elkobi, Bernd Gruner, Tim Sonnekalb, Clemens-Alexander Brust:
TIPICAL - Type Inference for Python In Critical Accuracy Level. CoRR abs/2308.02675 (2023) - 2022
- [j2]Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder:
Deep security analysis of program code. Empir. Softw. Eng. 27(1): 2 (2022) - [c5]Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder:
Generalizability of Code Clone Detection on CodeBERT. ASE 2022: 143:1-143:3 - [i3]Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust:
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. CoRR abs/2208.09189 (2022) - [i2]Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder:
Generalizability of Code Clone Detection on CodeBERT. CoRR abs/2208.12588 (2022) - 2021
- [c4]Andreas Schreiber, Tim Sonnekalb, Thomas S. Heinze, Lynn von Kurnatowski, Jesús M. González-Barahona, Heather S. Packer:
Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps. IPAW 2021: 88-105 - [c3]Andreas Schreiber, Tim Sonnekalb, Lynn von Kurnatowski:
Towards Visual Analytics Dashboards for Provenance-driven Static Application Security Testing. VizSec 2021: 42-46 - [i1]Clemens-Alexander Brust, Bernd Gruner, Tim Sonnekalb:
ROMEO: Exploring Juliet through the Lens of Assembly Language. CoRR abs/2112.06623 (2021) - 2020
- [j1]Tim Sonnekalb, Thomas S. Heinze, Patrick Mäder:
Erste Überlegungen zur Erklärbarkeit von Deep-Learning-Modellen für die Analyse von Quellcode. Softwaretechnik-Trends 40(2): 39-40 (2020)
2010 – 2019
- 2019
- [c2]Tim Sonnekalb:
Machine-learning supported vulnerability detection in source code. ESEC/SIGSOFT FSE 2019: 1180-1183 - [c1]Tim Sonnekalb, Sergio Lucia:
Smart Hot Water Control with Learned Human Behavior for Minimal Energy Consumption. WF-IoT 2019: 572-577
Coauthor Index
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last updated on 2024-09-28 02:20 CEST by the dblp team
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