Physical Unclonable Functions: Machine Learning and Security Challenges

Physical Unclonable Functions: Machine Learning and Security Challenges

TheIACR via YouTube Direct link

Attack Complexity

9 of 16

9 of 16

Attack Complexity

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Classroom Contents

Physical Unclonable Functions: Machine Learning and Security Challenges

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

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