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Description: An adversarial sample is a type of input that has been intentionally manipulated to deceive a machine learning model, especially in the context of various machine learning frameworks. These samples are created using techniques that subtly alter the original data, so that the model cannot correctly recognize them or produces erroneous results. The essence […]