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1
Introduction
2
Todays Fakes
3
The Dangers
4
Informal Study
5
Machine and Biology
6
What is a Deep Fake
7
Making Good Deep Fakes
8
Wavenet
9
History of TTS
10
Gann Discriminator
11
References
12
What Kind of Deep Fake Detection
13
Listening to Speech
14
CoArticulation
15
Deep Fakes
16
Mice
17
Mouse
18
Why Mice
19
synapses
20
reset synapses
21
local inhibitory neurons
22
summary
Description:
Explore the world of deep fake detection in this Black Hat conference talk. Delve into the dangers of neural network-generated speech and its potential for social engineering attacks. Learn about the history of text-to-speech technology, GAN discriminators, and the innovative approach of using mice for deep fake detection. Discover the biological aspects of speech perception, including coarticulation and synaptic processes in mice. Gain insights into the challenges of creating convincing deep fakes and the importance of developing effective detection methods. Understand the intersection of machine learning and biology in the fight against audio impersonation attacks.

Detecting Deep Fakes with Mice

Black Hat
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