adversarial machine learning
Adversarial machine learning refers to a branch of artificial intelligence where algorithms are developed to defend against malicious attacks on machine learning models. It involves studying and designing robust algorithms that can detect and withstand deliberate attempts to deceive or manipulate the model's behavior, ensuring the integrity and reliability of the machine learning system.
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