Past Generalization: A Theory Of Robustness In Machine Learning Synthese
There is not any guarantee that the model new optimized or upgraded model will respond appropriately to the counterexamples discovered through the assessment using most amelioration techniques. Robust models are often evaluated on adversarial examples or shifted inputs generated by evaluation methods. It is necessary to show that the amelioration technique does not overfit on …
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