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Classroom Contents
FeatureSmith- Learning to Detect Malware by Mining the Security Literature - USENIX Enigma 2017
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- 1 Intro
- 2 Security and Machine Learning
- 3 Running Example: Android Malware Detection • How should we compare samples? - Permissions
- 4 Dilemma
- 5 Plato's Allegory of the Cave
- 6 Challenge #1
- 7 Challenge #2
- 8 Intuition for Automatic Feature Engineering
- 9 Behavior Extraction
- 10 Behavior Understanding • Link behaviors to concrete features
- 11 Semantic Network Example
- 12 How Well Does This Work?
- 13 Auto vs. Manual: Experiment
- 14 Auto vs. Manual: Features
- 15 Auto vs. Manual: Detection Performance
- 16 Knowledge Evolution
- 17 Alternatives
- 18 In A Nutshell
