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Local Explanation Method using Nonlinear Approximation(LEMNA)

Implementation of the research paper Guo, Wenbo, et al. "Lemna: Explaining deep learning based security applications." Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security. ACM, 2018.

  • Generates a small set of interpretable features to explain how the input sample is classified by the neural network
  • Boosts the explanation fidelity by approximating the local area of the complex deep learning decision boundary

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Source code for 'Lemna: Explaining deep learning based security applications'.

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