Machine Learning Security

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What is the primary goal of adversarial attacks in machine learning?

  1. To improve the accuracy of machine learning models
  2. To exploit vulnerabilities in machine learning models
  3. To increase the interpretability of machine learning models
  4. To reduce the computational cost of training machine learning models
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