LEMNA - Explaining Deep Learning Based Security Applications

LEMNA - Explaining Deep Learning Based Security Applications

Association for Computing Machinery (ACM) via YouTube Direct link

Limitation of Existing Explanation Techniques

5 of 13

5 of 13

Limitation of Existing Explanation Techniques

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Classroom Contents

LEMNA - Explaining Deep Learning Based Security Applications

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

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