What are some examples of adversarial examples in AI?
Adversarial examples are inputs designed to fool AI models. For instance, adding noise to an image can mislead a classifier.
Can you give me a specific example involving images?
Sure! One famous example is the 'Stop Sign' image, where slight alterations can cause a stop sign to be misclassified as a yield sign.
How do these adversarial examples affect AI systems in real life?
They can lead to serious consequences, especially in safety-critical applications like self-driving cars, where misclassifications can be dangerous.
What methods are used to defend against adversarial attacks?
Common defenses include adversarial training, where models are trained on adversarial examples, and using techniques like input preprocessing.
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