Description
The session is about adversarial machine learning. The talk will include:
- Introduction to adversarial machine learning
- Crafting adversarial examples with various algorithms.
- Properties of adversarial examples
- Attacks on CNN and NLP systems with adversarial examples
- Defenses against adversarial examples.