YoVDO

CAP6412 - Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Offered By: University of Central Florida via YouTube

Tags

Deep Learning Courses Machine Learning Courses Computer Vision Courses ResNet Courses Gradient Maps Courses

Course Description

Overview

Explore the significance of skip connections in adversarial example generation using ResNets in this 28-minute lecture from the University of Central Florida. Delve into topics such as skip gradient maps, experimental setups, threat models, and SGM attacks. Examine the comparison between SGM and robust models, investigate gamma variations in GM, and analyze single-step FGSM attacks. Gain valuable insights into the transferability of adversarial examples and their implications for deep learning security.

Syllabus

Introduction
Related works
Skip gradient map
Experimental setup
Threat model
SGM attacks
SGM vs robust models
GM variations in gamma
Singlestep Fgsm attacks
Conclusion


Taught by

UCF CRCV

Tags

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent