Building Realistic Machine Learning Systems for Security

Building Realistic Machine Learning Systems for Security

USENIX Enigma Conference via YouTube Direct link

Intro

1 of 11

1 of 11

Intro

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Building Realistic Machine Learning Systems for Security

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  1. 1 Intro
  2. 2 Machine Learning is necessary for detecting malware at scale
  3. 3 Let's build a malware detector using machine learning
  4. 4 What is malware?
  5. 5 Professional Heuristics for Ground Truth
  6. 6 Does the overall performance of the classifiers matter?
  7. 7 Adversarial attacks: feature space vs problem space
  8. 8 Are adversarial attacks harmful to users?
  9. 9 Is evading one classifier enough?
  10. 10 Who is the adversary?
  11. 11 Questions?

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