Project Details
Description
The project aims to develop trustworthy foundation models that can perform effectively under imperfect conditions. Given that most real-world data, such as unexpected image artefacts and adversarial inputs, are frequently noisy, the research focuses on addressing reliability, robustness, and safety issues in the field of machine learning.
| Status | Active |
|---|---|
| Effective start/end date | 1/06/25 → 31/05/28 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 16 Peace, Justice and Strong Institutions
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