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Introduction
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Classroom Contents
Hacking AI - Security & Privacy of Machine Learning Models
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- 1 Introduction
- 2 Machine Learning Pipeline
- 3 Adversary Examples
- 4 Defenses
- 5 adversarial examples
- 6 perceptual ad blocking
- 7 adversarial noise
- 8 data protection
- 9 differential privacy
- 10 accuracy
- 11 privacy
- 12 differential privacy level
- 13 transfer learning
- 14 CTML
- 15 Why cant we identify what the data said
- 16 Measuring resistance to adversarial attacks
- 17 Quantum computing
