On the Effectiveness of Interpretable Feedforward Neural Network

no code implementations • 3 Nov 2021 • Miles Q. Li, Benjamin C. M. Fung, Adel Abusitta

We conclude by finding that the generalized IFFNNs achieve comparable classification performance to their normal feedforward neural network counterparts and provide meaningful interpretations.

BIG-bench Machine Learning Classification +2

I-MAD: Interpretable Malware Detector Using Galaxy Transformer

no code implementations • 15 Sep 2019 • Miles Q. Li, Benjamin C. M. Fung, Philippe Charland, Steven H. H. Ding

It also incorporates our proposed interpretable feed-forward neural network to provide interpretations for its detection results by quantifying the impact of each feature with respect to the prediction.

BIG-bench Machine Learning Malware Detection