adversarial-example
Expanded definition
Adversarial examples are inputs to models that have been intentionally modified to cause the model to make a mistake. These inputs are often generated by adding small, imperceptible perturbations to legitimate data points. The study of adversarial examples is crucial for understanding the vulnerabilities of machine learning systems and improving their robustness against potential attacks.
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adversarial-example FAQ
What is adversarial-example?
An input designed to fool a machine learning model into making incorrect predictions.
How is adversarial-example used in AI systems?
Adversarial examples are inputs to models that have been intentionally modified to cause the model to make a mistake. These inputs are often generated by adding small, imperceptible perturbations to legitimate data points. The study of adversarial examples is crucial for understanding the vulnerabilities of machine learning systems and improving their robustness against potential attacks.
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