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5. Generative-Adversarial Neural Networks and Voiceprint Systems with Zach Trefler
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Innehåll tillhandahållet av Brendon Matusch, Anish Singhani, Brendon Matusch, and Anish Singhani. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Brendon Matusch, Anish Singhani, Brendon Matusch, and Anish Singhani eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.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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