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Computer Vision - Adversarial Attacks and Deepfool Algorithm - Lecture 1

Offered By: University of Central Florida via YouTube

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Machine Learning Security Courses Deep Learning Courses Computer Vision Courses Neural Networks Courses

Course Description

Overview

Explore the concept of Deepfool, a method for generating adversarial examples in deep neural networks, in this 20-minute lecture from the University of Central Florida. Learn about linearizing classifiers, multiclass classification, and experimental results. Examine the objectives, implementation, and potential drawbacks of this technique in the context of computer vision and machine learning security.

Syllabus

Introduction
Summary
Objectives
Deepfool
Linearizing a classifier
Multiclass classification
Experiments
Conclusion
Disadvantages


Taught by

UCF CRCV

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