Protecting AI Systems from Adversarial Machine Learning
Adversarial Machine Learning involves the intentional manipulation of input data to deceive a model into making incorrect predictions or classifications. This field of study focuses on both the methods used to exploit vulnerabilities in neural networks and the defensive strategies required to maintain model integrity. As artificial intelligence moves from research labs into critical infrastructure, […]
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