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Machine Learning Security
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What is the primary goal of adversarial attacks in machine learning?
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A
To exploit vulnerabilities in machine learning models
💡 Explanation:
Adversarial attacks aim to manipulate the input data or model parameters to cause the machine learning model to make incorrect predictions or behave in an unintended manner.