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TequilaGAN: How to easily identify GAN samples
In this paper we show strategies to easily identify fake samples generated with the Generative Adversarial Network framework.
Attacking Speaker Recognition With Deep Generative Models
In this paper we investigate the ability of generative adversarial networks (GANs) to synthesize spoofing attacks on modern speaker recognition systems.
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