What are some effective techniques for defending against adversarial attacks?
An example of an AI chatbot conversation about techniques for adversarial attack defense.
What are some effective techniques for defending against adversarial attacks?
There are several techniques, including adversarial training, defensive distillation, and input preprocessing.
Can you explain adversarial training?
Adversarial training involves training the model on both clean and adversarial examples to improve its robustness.
What is defensive distillation?
Defensive distillation is a technique where a model is trained to predict the softmax probabilities of another model, making it harder for adversarial examples to succeed.
Are there any other methods I should know about?
Yes, techniques like feature squeezing and model ensembling can also enhance defense against adversarial attacks.
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