Search Results for author: Farkhund Iqbal

Found 3 papers, 1 papers with code

Large Language Models Spot Phishing Emails with Surprising Accuracy: A Comparative Analysis of Performance

no code implementations23 Apr 2024 Het Patel, Umair Rehman, Farkhund Iqbal

Phishing, a prevalent cybercrime tactic for decades, remains a significant threat in today's digital world.

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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