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