218 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universität UlmDE13 papers
- Esslingen University of Applied SciencesDE5 papers
- Leiden UniversityNL5 papers
- Karlsruhe Institute of TechnologyDE4 papers
- Saarland UniversityDE4 papers
- University of StuttgartDE4 papers
- University of TübingenDE4 papers
- Forschungszentrum JülichDE3 papers
- RheinMain University of Applied SciencesDE3 papers
- University of Applied Sciences LeidenNL3 papers
- University of GöttingenDE3 papers
- University of SiegenDE3 papers
6 papers · 1 filter
Analysis of the DoIP Protocol for Security Vulnerabilities
Patrick Wachter, Stephan Kleber
DoIP, which is defined in ISO 13400, is a transport protocol stack for diagnostic data. Diagnostic data is a potential attack vector at vehicles, so secure transmission must be gua…
Analyzing Multi-Task Learning for Abstractive Text Summarization
Frederic Kirstein, Jan Philip Wahle, Terry Ruas +1
Despite the recent success of multi-task learning and pre-finetuning for natural language understanding, few works have studied the effects of task families on abstractive text sum…
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
Jan Philip Wahle, Terry Ruas, Frederic Kirstein +1
The recent success of large language models for text generation poses a severe threat to academic integrity, as plagiarists can generate realistic paraphrases indistinguishable fro…
Unveiling the Real Performance of LPDDR5 Memories
Lukas Steiner, Matthias Jung, Michael Huonker +1
LPDDR5 is the latest low-power DRAM standard and expected to be used in various application fields. The vendors have published promising peak bandwidths up to 50 % higher than thos…
Problem-Size Independent Angles for a Grover-Driven Quantum Approximate Optimization Algorithm
David Headley, Frank K. Wilhelm
The Quantum Approximate Optimization Algorithm (QAOA) requires that circuit parameters are determined that allow one to sample from high-quality solutions to combinatorial optimiza…
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas +4
Scenario-based approaches for the validation of highly automated driving functions are based on the search for safety-critical characteristics of driving scenarios using software-i…