Differentially Private Model Publishing for Deep Learning

Differentially Private Model Publishing for Deep Learning

IEEE Symposium on Security and Privacy via YouTube Direct link

Presentation Summary

17 of 18

17 of 18

Presentation Summary

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Classroom Contents

Differentially Private Model Publishing for Deep Learning

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  1. 1 Intro
  2. 2 Deep Learning
  3. 3 Model Publishing
  4. 4 Differential Privacy
  5. 5 Composition Theorem
  6. 6 Multistep Machine Learning
  7. 7 Stochastic Gradient Descent
  8. 8 Technical Challenge
  9. 9 Summary
  10. 10 Minibatch
  11. 11 Random shuffling
  12. 12 Zero concentrated differential privacy
  13. 13 Random sampling preserves privacy
  14. 14 Smarter budget allocation
  15. 15 SGD graph
  16. 16 Budget Allocation
  17. 17 Presentation Summary
  18. 18 Questions

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