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Classroom Contents
Defeating Machine Learning - Systemic Deficiencies for Detecting Malware
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- 1 Intro
- 2 Who are we
- 3 Agenda
- 4 Security landscape 30 years ago
- 5 Sandbox evasion techniques
- 6 Security posture today
- 7 Machine learning
- 8 Supervised machine learning
- 9 Potential vulnerabilities of machine learning
- 10 Common model problem
- 11 Machine Learning Security Solutions
- 12 Our Lab
- 13 Obfuscating
- 14 Balancing Replacement and Addition
- 15 Efficacy Results
- 16 Benefits
- 17 Summary
- 18 Vulnerability Testing
- 19 Continuous Learning
- 20 Crowd Sourcing
- 21 Feature Vectors
