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Intro
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Classroom Contents
Security Vulnerabilities in AI Assistant Based Applications
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- 1 Intro
- 2 Typical Setup at Home
- 3 Physical Real-World Attacks
- 4 Splicing Demo 1
- 5 Splicing Demo 2
- 6 Future Attacks 1
- 7 Future Attacks 2
- 8 Attacking Al Assistant Business Logic
- 9 Architecture
- 10 Understanding Slots
- 11 Attackable Slots
- 12 Neural Networks and the Brain
- 13 Techniques for Attacking Neural Networks
- 14 What Can You Attack with Adversarial Examples?
- 15 Why Do Adversarial Masks work?
- 16 Adversarial Result
- 17 Adversarial Input Generation Techniques
- 18 White Box Adversarial Attack • Techniques
- 19 White Box Adversarial Attack Techniques
- 20 Black Box Adversarial Attack
- 21 Adversarial Patches
- 22 Defending against adversarial samples
- 23 Trojaning neural networks
- 24 Defending against trojans
- 25 Model Data Extraction
- 26 Training Data Extraction
- 27 Summary
