2. Adversarial Machine LearningΒΆ
- 2.1. Evasion Attacks against Machine Learning models
- 2.2. Transferability of Evasion Attacks
- 2.3. Poisoning Attacks against Machine Learning models
- 2.4. Evasion and Poisoning Attacks on MNIST dataset
- 2.5. Evasion Attacks against Neural Networks on MNIST dataset
- 2.6. Evasion Attacks on ImageNet
- 2.7. Using cleverhans within SecML
- 2.8. Evasion Attacks on ImageNet (Advanced)