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DeepSteal - Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

IEEE via YouTube

Overview

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Explore advanced techniques for model extraction in this 20-minute IEEE conference talk. Delve into the concept of DeepSteal, which leverages efficient weight stealing from memories. Learn about Hammer Leak and Memory Swapping methodologies, and understand their application in training algorithms. Examine experimental results that demonstrate the effectiveness of these techniques. Gain insights from experts Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, and Deliang Fan as they discuss the implications and potential impact of DeepSteal on the field of deep learning and cybersecurity.

Syllabus

Introduction
Background Information
Objective
Hammer Leak
Memory Swapping
Training Algorithm
Experimental Results
Conclusion

Taught by

IEEE Symposium on Security and Privacy

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