Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder

Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou

Neural Information Processing Systems 

Unlike GANs, solving such problem is computationally challenging, we then proposed a simple yet effective procedure to decouple the alternating updates for the two networks for stability.

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