Machine learning and AI for secure and trustworthy autonomous systems
Oishi Deb (Ph.D. Student)
The project focuses on trustworthy-autonomous systems which include working on explainable-by-design/interpretable Deep Learning models to ensure better decision making in safety-critical applications. It will address vulnerabilities and countermeasures of ML and AI algorithms that are being used in Autonomous Systems (AS). Uncertainty handling and errors propagation will be considered as well as various scenarios/methods will also be under investigation.
|Primary Host:||Plamen P. Angelov (Lancaster University)|
|Exchange Host:||Aude Billard (EPFL)|
|PhD Duration:||01 October 2021 - 31 March 2024|
|Exchange Duration:||01 June 2022 - 31 August 2022 01 June 2023 - 31 August 2023|