Lemna: Explaining deep learning based security applications

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security 2018 Wenbo GuoDongliang Mu5Jun Xu4Purui Su6Gang Wang3Xinyu Xing

While deep learning has shown a great potential in various domains,the lack of transparency has limited its application in security orsafety-critical areas. Existing research has attempted to developexplanation techniques to provide interpretable explanations foreach classication decision... (read more)


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet