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 | ML-Sec IV |
| Short Name | ML-Sec IV |
| Short Description | Forschung zum Schutz des gesamten Machine Learning Lebenszyklus mit Fokus auf industrielle Software. Schwerpunkt liegt auf Binary Similarity Erkennung durch ML, sowie Schutz vor Data Poisoning Angriffen. Gremienarbeit (PI 4.0) bzw. Publikationen auf Konferenzen mit Auftraggeber. Es wird eine Publikation in dem IIC Journal of Innovation geben (März 2021): Schaad, A., Kempka, C. “Securing the machine learning lifecycle for industrial applications is as important as securing the general software development lifecycle” |
| Year Of Acquisition | 2021 |
| Start Date | 2021-10-01 |
| End Date | 2022-03-31 |
| Project Managers | Schaad, Andreas, Prof. Dr. |
| Faculties | M |
| Institution | ivESK |