Search Results for author: Steven H. H. Ding

Found 5 papers, 1 papers with code

I-MAD: Interpretable Malware Detector Using Galaxy Transformer

no code implementations15 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

ER-AE: Differentially Private Text Generation for Authorship Anonymization

2 code implementations NAACL 2021 Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal

By augmenting the semantic information through a REINFORCE training reward function, the model can generate differentially private text that has a close semantic and similar grammatical structure to the original text while removing personal traits of the writing style.

Privacy Preserving Text Generation

Learning Stylometric Representations for Authorship Analysis

no code implementations3 Jun 2016 Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung

Authorship analysis (AA) is the study of unveiling the hidden properties of authors from a body of exponentially exploding textual data.

Authorship Verification Feature Engineering +1

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