Abstract

Machine Learning and InfoSec

• Understanding Mathematics and intuition behind machine learning algorithms
• Applications of machine learning in security domain with hands on examples

• Defensive sec:

  • Web access firewalls
  • Intrusion detection systems

• Offensive sec:

  • Machine learning for phishing
  • Machine learning for fuzzing

• Evaluate models using different evaluation parameters.

• Hacking Machine Learning Systems

  • Adversarial learning Attack
  • Model stealing Attack

Speaker

Nikhil

AI, AI Security and Maths!!

Timing

Starts at Saturday February 16 2019, 10:10 AM. The sessions runs for about 3 hours.

Resources