Data Science, Artificial Intelligence, Open Data, Machine Learning, Open Source.
test the robustness of machine learning models by creating counter-examples, i.e., examples that are intentionally designed to challenge the model’s performance. By adding synthetic manipulations to the original data, such as noise, rotations, or occlusions, synthetic data can simulate real-world