Understanding the Threats and Attacks on Data Science Applications

Understanding the Threats and Attacks on Data Science Applications

OWASP Foundation via YouTube Direct link

Understanding the Threats and Attacks on Data Science Applications

1 of 15

1 of 15

Understanding the Threats and Attacks on Data Science Applications

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Understanding the Threats and Attacks on Data Science Applications

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  1. 1 Understanding the Threats and Attacks on Data Science Applications
  2. 2 Biggest Blindspot in Enterprise Security
  3. 3 The Attack Surface of a Data Science Application
  4. 4 Attacking an Algorithm's Data
  5. 5 Securing Data Science Infrastructure
  6. 6 Attacking Data Science Engineers
  7. 7 Attacking Data Science Developer Tools
  8. 8 Attacking Data Cleansing and Preparation Logic
  9. 9 Processing Components
  10. 10 Input Problems Unique to Streaming Apps
  11. 11 Ensuring that Your Data is Bounded
  12. 12 Filter Bypass Issues
  13. 13 Mismatched Character Sets
  14. 14 Knowing All of Your Potential Data Uses
  15. 15 Questions and Contact

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