Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models

Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models

IEEE Symposium on Security and Privacy via YouTube Direct link

Summary & Discussion

21 of 21

21 of 21

Summary & Discussion

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Classroom Contents

Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models

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  1. 1 Intro
  2. 2 Deep Learning Models
  3. 3 DL Model Copyright Protection
  4. 4 Model Thief
  5. 5 DNN Watermarking
  6. 6 DEEPJUDGE Framework
  7. 7 Multi-level Testing Metrics
  8. 8 Metrics: Property-level
  9. 9 Metrics: Neuron-level
  10. 10 Metrics: Layer-level
  11. 11 Test Case Generation
  12. 12 Generation: Black-box Setting
  13. 13 Generation: White-box Setting
  14. 14 Final Judgement
  15. 15 Experiments
  16. 16 Against Model Fine-tuning & Pruning
  17. 17 Combined Visualization
  18. 18 Comparison
  19. 19 Against Model Extraction
  20. 20 Adaptive Attackers
  21. 21 Summary & Discussion

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