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Model Stealing Attacks Against Inductive Graph Neural Networks

Offered By: IEEE via YouTube

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IEEE Symposium on Security and Privacy Courses Cybersecurity Courses Machine Learning Courses

Course Description

Overview

Explore the vulnerabilities of inductive graph neural networks in this 18-minute IEEE conference talk, delving into model stealing attacks. Learn from experts Yun Shen, Xinlei He, Yufei Han, and Yang Zhang as they discuss potential security risks and implications for graph-based machine learning models.

Syllabus

Model Stealing Attacks Against Inductive Graph Neural Networks


Taught by

IEEE Symposium on Security and Privacy

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