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Dependability Modelling Projects:
- HIP-HOPS
- SafeDrones: A Prototype for Executable Digital Dependable Identifier (EDDI)
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Dependable AI Projects:
- SafeML: Exploring Techniques for Safety Monitoring of Machine Learning Classifiers
- XWhy: eXplain Why with SMILE -- Statistical Model-agnostic Interpretability with Local Explanations
- D-ACE: Dataset Assessment and Characteristics Evaluation
- Fairness Evaluation vs. Distributional Shift
- APEP-ML: Adversarial Poisonings using Evolutionary Processes for Machine Learning
- MA'AT: Machine learning Audit and Assessment for Trustworthiness and fairness (will be Public Soon!)
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Optimization Projects:
Dependable-Intelligent-Systems-Lab, University of Hull
The group is pioneering a novel synthesis of model-based and bio-inspired technologies, known as HiP-HOPS, for the design and analysis of complex dependable sys
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- SafeML Public Forked from ISorokos/SafeML
Exploring techniques for estimating safety of machine learning classifiers
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