Robustness
Robustness refers to the ability of an algorithm or model to maintain its performance and accuracy under different conditions, such as changes in the input data, noise or outliers in the data, or attacks designed to manipulate or disrupt the model's behavior.
A robust model is one that is able to perform consistently and accurately despite variations or disturbances in the data or in the environment. The development of robust machine learning models is essential to ensure that they are reliable and can be trusted to perform effectively in real-world applications.
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