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Found 4 papers, 2 papers with code
Managing ML-Based Application Non-Functional Behavior: A Multi-Model Approach
Our solution goes beyond the state of the art by providing an architectural and methodological approach that continuously guarantees a stable non-functional behavior of ML-based applications, is applicable to different ML models, and is driven by non-functional properties assessed on the models themselves.
Rethinking Certification for Trustworthy Machine Learning-Based Applications
Machine Learning (ML) is increasingly used to implement advanced applications with non-deterministic behavior, which operate on the cloud-edge continuum.
On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach
This huge progress in terms of prediction quality does not however find a counterpart in the security of such models and corresponding predictions, where perturbations of fractions of the training set (poisoning) can seriously undermine the model accuracy.
An Artificial Intelligence Outlook for Colorectal Cancer Screening
Colorectal cancer is the third most common tumor in men and the second in women, accounting for 10% of all tumors worldwide.
