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What is adversarial learning?
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Adversarial learning is a technique for training neural networks. It involves training a neural network to perform a task, and then training another neural network to perform the same task, but with the goal of making the first neural network fail at the task. This is done by adding a small amount of noise to the input of the first neural network, which makes it harder for the first neural network to perform the task.