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Summary
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Classroom Contents
Physical Unclonable Functions: Machine Learning and Security Challenges
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- 1 Introduction
- 2 Machine Learning of Physical Unclonable Functions
- 3 Inconsistency of Simulation and Practice
- 4 Combining Optimization Objectives
- 5 Strong Path
- 6 Modeling Attacks
- 7 Reliability Attacks
- 8 Tech Framework
- 9 Attack Complexity
- 10 Symmetry
- 11 PRF
- 12 Contributions
- 13 Summary
- 14 Masking
- 15 Questions
- 16 Learning with parity noise
