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