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Classroom Contents
LEMNA - Explaining Deep Learning Based Security Applications
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- 1 Intro
- 2 The Concerns of Opaque Deep Learning Model
- 3 Existing Explanation Techniques & Limitations
- 4 One Example of Model Explanation (LIME. KDD'16)
- 5 Limitation of Existing Explanation Techniques
- 6 LEMNA: Local Explanation Method using Nonlinear Approximation
- 7 Supporting Locally Non-linear Decision Boundaries
- 8 Modeling the Feature Dependency . Mature regression model with fused lasso
- 9 Deriving an Explanation from DNN with LEMNA
- 10 Explanation Accuracy Evaluation
- 11 Demonstration of LEMNA in Identifying Binary Function Start
- 12 Building Trust in the Target Models
- 13 Troubleshooting and Patching Model Errors
