89 citations
- Technical University of MunichDE15 papers
- University of LimerickIE4 papers
- Ostbayerische Technische Hochschule Amberg-WeidenDE2 papers
- University of SouthamptonGB2 papers
- Worcester Polytechnic InstituteUS2 papers
- Federal Office for Information SecurityDE1 paper
- Heidelberg UniversityDE1 paper
- Laboratoire Informatique d'AvignonFR1 paper
- Microsoft (Canada)CA1 paper
- Microsoft (United States)US1 paper
- Munich University of Applied SciencesDE1 paper
- Systems, Applications & Products in Data Processing (Germany)DE1 paper
61 papers
Detecting Cryptographically Relevant Software Packages with Collaborative LLMs
Eduard Hirsch, Kristina Raab, Tobias J. Bauer +1
IT systems are facing an increasing number of security threats, including advanced persistent attacks and future quantum-computing vulnerabilities. The move towards crypto-agility…
Architecture-Derived CBOMs for Cryptographic Migration: A Security-Aware Architecture Tradeoff Method
Eduard Hirsch, Kristina Raab
Cryptographic migration driven by algorithm deprecation, regulatory change, and post-quantum readiness requires more than an inventory of cryptographic assets. Existing Cryptograph…
Influence of Parallelism in Vector-Multiplication Units on Correlation Power Analysis
Manuel Brosch, Matthias Probst, Stefan Kögler +1
The use of neural networks in edge devices is increasing, which introduces new security challenges related to the neural networks' confidentiality. As edge devices often offer phys…
GPTrace: Effective Crash Deduplication Using LLM Embeddings
Patrick Herter, Vincent Ahlrichs, Ridvan Açilan +1
Fuzzing is a highly effective method for uncovering software vulnerabilities, but analyzing the resulting data typically requires substantial manual effort. This is amplified by th…
GRASPED: Graph Anomaly Detection using Autoencoder with Spectral Encoder and Decoder (Full Version)
Wei Herng Choong, Jixing Liu, Ching-Yu Kao +1
Graph machine learning has been widely explored in various domains, such as community detection, transaction analysis, and recommendation systems. In these applications, anomaly de…
Quantum Machine Learning Playground
Pascal Debus, Sebastian Issel, Kilian Tscharke
This article introduces an innovative interactive visualization tool designed to demystify quantum machine learning (QML) algorithms. Our work is inspired by the success of classic…