Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

How to Detect Fake Faces - Manipulated Images Using CNNs

Hack In The Box Security Conference via YouTube

Overview

Explore cutting-edge techniques for detecting manipulated facial images using Convolutional Neural Networks (CNNs) in this 54-minute conference talk from the Hack In The Box Security Conference. Delve into the urgent need for effective methods to expose fake face images amidst rapid progress in facial manipulation technologies. Learn about two powerful approaches: a simple yet effective CNN architecture achieving 99% accuracy for Deepfakes detection, and a FaceNet-based method utilizing face recognition features to train an SVM classifier. Gain insights from AI security experts at Baidu X-Lab as they discuss how low-level and high-level features are leveraged to automatically detect facial manipulation frames. Understand the potential societal, political, and commercial implications of advanced facial manipulation techniques, and discover how CNN-based networks can effectively distinguish fake face images from real ones.

Syllabus

#HITBGSEC COMMSEC: How To Detect Fake Faces (Manipulated Images) Using CNNs - Jay Xiong

Taught by

Hack In The Box Security Conference

Reviews

Start your review of How to Detect Fake Faces - Manipulated Images Using CNNs

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.