YoVDO

AudioNet - A Deep Learning Convolutional Approach to Audio Spoofing Detection

Offered By: Ekoparty Security Conference via YouTube

Tags

Ekoparty Security Conference Courses Deep Learning Courses

Course Description

Overview

Explore the development of an anti-spoofing detection tool for biometric security systems in this 34-minute conference talk from the Ekoparty Security Conference. Discover how image detection deep learning techniques are applied to audio analysis to combat online fraud. Learn about the growing importance of biometric security solutions in risk management and accessibility, especially during the COVID-19 pandemic. Understand the need for advanced anti-spoofing tools to protect against attacks on biometric systems as online monetary operations continue to increase. Gain insights into the intersection of deep learning, audio analysis, and cybersecurity in this informative presentation from #Eko2020 Main Track.

Syllabus

#Eko2020 Main Track | AudioNet: A deep learning convolutional approach to audio spoofing detection


Taught by

Ekoparty Security Conference

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera
Leading Ambitious Teaching and Learning
Microsoft via edX