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Classroom Contents
CrowdSource - Crowd Trained Machine Learning Model for Malware Capability Detection
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- 1 Introduction
- 2 Outline
- 3 Motivation
- 4 Needs
- 5 Visualization
- 6 Automated Analysis Research
- 7 Project Structure
- 8 Motivation for Work
- 9 Training Data
- 10 Auto Document Detection
- 11 Datasets
- 12 Stack Overflow
- 13 Superuser
- 14 Experiment
- 15 Model Setup
- 16 Query Setup
- 17 Query Demo
- 18 Variable Success
- 19 Results
- 20 Custom Model
- 21 Bayesian Network
- 22 Socket
- 23 Proof Message
- 24 Inference
- 25 Bayesian Update
- 26 Accuracy
- 27 Precision Recall
- 28 Speed
- 29 Impact
- 30 Adaptability
- 31 Yarra
- 32 Malware Demographics
- 33 Matrix Visualization
- 34 Output
- 35 Sample
- 36 API Calls
