Secure, Autonomous and AI-Based Systems
Secure, Autonomous and AI-Based Systems
The digital transformation and expansion of cyber-physical systems increasingly require more collaborative solutions and human-machine interaction. Cognitive computing also increases the autonomy of systems (e.g. autonomous vehicles and flying objects). At the same time, it also poses challenges in communication and interface design between components and systems, data acquisition and analysis using artificial intelligence (e.g. Big Data, machine learning), and IT security.
Research in this area is conducted primarily at the Affective and Cognitive Institute (ACI), Institute for Machine Learning and Analytics (IMLA), Institute for Unmanned Aerial Systems (IUAS), and the Institute of Reliable Embedded Systems and Communication Electronics (ivESK).
| Title | Sicherer Machine Learning Lifecycle |
| Short Name | SMILE4KMU |
| Short Description | Eigenständige Ziele des Teilprojekts der HSO sind: • Eine Analyse von KMU spezifischen Anforderungen eines sicheren Lebenszyklus • Design und technische Umsetzung einer sicheren Trainingsinfrastruktur: o Schutz vor Data Poisoning und Manipulation der Trainingsumgebung o Schutz der Trainingsdaten, Trainingsumgebung und Trainingsparameter o Schutz der trainierten Modelle • Erstellung eines unterstützenden Prozessmodells. • Integration der Komponenten der Projektpartner • Validierung der Szenarien • Verifikation der technischen Komponenten |
| Year Of Acquisition | 2023 |
| Start Date | 2023-08-01 |
| End Date | 2026-07-31 |
| Project Managers | Schaad, Andreas, Prof. Dr. |
| Faculties | M |
| Institution | IMLA |