What are some real-world examples of adversarial training in AI?
Adversarial training is used in various fields. For instance, in image recognition, it helps models resist adversarial attacks.
Can you give me a specific example in image recognition?
Sure! One example is training models to identify objects in images while being exposed to slightly altered images that could confuse them.
How does this improve the model's performance?
It enhances robustness, allowing the model to correctly classify images even when they are perturbed or altered.
Are there other fields where adversarial training is applied?
Yes, it's also used in natural language processing to improve the resilience of chatbots against misleading inputs.
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