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Classroom Contents
Understanding Security Threats Against Machine - Deep Learning Applications
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- 1 Introduction
- 2 Review of Machine Learning
- 3 Example
- 4 Adversary Inputs
- 5 Neural Network
- 6 Why is this important
- 7 How does this work
- 8 Neural Networks
- 9 Whitebox vs Blackbox
- 10 Differentials
- 11 Derivative
- 12 math
- 13 fast gradient sign
- 14 Jacobian map approp approach
- 15 Carlini Wagner
- 16 Genetic Algorithms
- 17 Synthesising Data
- 18 Adversary Patches
