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Deep Neural Networks
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Classroom Contents
From Idea to Impact, the Crypto Story - What's Next?
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- 1 Intro
- 2 Title
- 3 First Crypto
- 4 Simons Institute
- 5 Whats Next
- 6 Outline
- 7 Machine Learning
- 8 Learning or Training
- 9 Learning Definition
- 10 Theory of the Learner
- 11 DNF
- 12 Generation
- 13 Machine Learning and Crypto
- 14 The Problem
- 15 The Revolutionary Impact
- 16 Learning Parity with Noise
- 17 Quantum Computers
- 18 Quantum Resilience
- 19 Theory and Practice
- 20 Machine Learning Practice
- 21 Data is the New Oil
- 22 Cryptography is a Field
- 23 Challenges
- 24 Adversary Machine Learning
- 25 Pig Recognizer
- 26 Cryptography
- 27 Image Classification
- 28 Leakage Resilient
- 29 The Holy Grail
- 30 Digital Privacy Laws
- 31 Model Tracing
- 32 Fairness Accountability Transparency
- 33 General Results
- 34 Proof of Concept
- 35 Pick and Choose
- 36 Classification
- 37 Computation vs Encryption
- 38 Linear Classification
- 39 Deep Neural Networks
- 40 Crypto Nets
- 41 Federate Learning
