DeepTheft: Stealing DNN Model Architectures through Power Side Channel - 2024
Offered By: IEEE via YouTube
Course Description
Overview
Explore a cutting-edge IEEE conference talk on DeepTheft, a novel technique for stealing Deep Neural Network (DNN) model architectures through power side channel attacks. Delve into the research presented by Garrison Gao, which uncovers potential vulnerabilities in DNN implementations. Learn about the methodology, implications, and potential countermeasures for this innovative approach to model extraction. Gain insights into the intersection of cybersecurity and machine learning, and understand the importance of protecting intellectual property in AI systems.
Syllabus
2024 125 DeepTheft Stealing DNN Model Architectures through Power Side Channel Garrison Gao
Taught by
IEEE Symposium on Security and Privacy
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