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Author

Rida Khatoun

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Delphi Scanner: efficient and interpretable static malware detection via API sequence modeling

Delphi Scanner is introduced, a static malware detection system for Windows PE files that balances efficiency with behavioral interpretation that uses a convolutional neural network to model Windows API sequences to classify PE and a decoupled interpretation layer based on a rule-based layer to categorize APIs into hig...

Bijied Brahimi, Vincent Cohadon, Gabriel Glazman et al. · 0 citations
#machine learning Preprint Sep 2026

AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection

Adaptive Uncertainty-Routed Analysis is introduced, a multimodal email threat detection system that analyzes both the content of an email and its embedded URLs and quantifies prediction uncertainty from a URL classifier.

Omran Berjawi, W. Fahs, Rida Khatoun · 0 citations
#machine learning Preprint Sep 2026

Bias Amplification in Multi-Agent Network: How Biased Agents Shape Opinions and Rhetoric

Large language models (LLMs) are increasingly deployed in applications involving interaction between agents, where their output plays a role in collective reasoning and decision-making processes. Despite significant research into the functioning of LLMs in such multi-agent systems, the processes of bias propagation in...

Omran Berjawi, G. Fenza, Rida Khatoun · 1 citation
#machine learning Preprint Sep 2026

A GAN-Based Framework for Robust DDoS Attack Detection

The scalable and efficient solution against adversarial DDoS attacks, introduced in this work, paves the way towards more resilient and adaptive network defense systems that combine generative adversarial augmentation with recent advances in learning models.

Makram Chehayeb, W. Fahs, A. Rizk et al. · 0 citations
#machine learning Preprint Sep 2026

Behavioral Fingerprinting and Navigation Prediction in Web Browsing

Experimental results show that short browsing sessions are highly identifiable, while future navigation actions are highly predictable from long-term interaction structure combined with recent behavioral context, indicating that repeated interaction patterns remain the dominant predictive signal in the evaluated web-br...

Ralph Elsaghbini, Omran Berjawi, W. Fahs et al. · 0 citations
#machine learning Open access Sep 2026

Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion

This work proposes a framework based on Friedkin-Johnsen (FJ) to identifies influential users and study their impact on dynamics opinions of community and shows that influencers with highest influencing score, significantly shift the overall community opinion.

Omran Berjawi, Rida Khatoun, G. Fenza · 2 citations

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