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5. Generative-Adversarial Neural Networks and Voiceprint Systems with Zach Trefler
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Manage episode 313356329 series 3267799
Контент предоставлен Brendon Matusch, Anish Singhani, Brendon Matusch, and Anish Singhani. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Brendon Matusch, Anish Singhani, Brendon Matusch, and Anish Singhani или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
Brendon and Anish interview Zach Trefler, a student at the University of Toronto, about his research on designing neural networks to create adversarial examples to defeat, and then improve the security of, a voiceprinting system. We discuss how generative-adversarial networks are applied and how they can be applied to generate adversarial examples, in order to trick a security system into classifying the examples as a completely different user, and then how this can be used to develop a more secure system. Please send comments to shatteredgradients@gmail.com.
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