2 citations · 2 across the 4 of their papers we have counts for
10 papers
Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social Networks
Omran Berjawi, Giuseppe Fenza, Rida Khatoun +1
The study of opinion dynamics in social networks is one of the key challenges in computational social science with direct relevance to understanding political polarization, misinfo…
Delphi Scanner: efficient and interpretable static malware detection via API sequence modeling
Bijied Brahimi, Vincent Cohadon, Gabriel Glazman +3
Static malware detection for Windows Portable Executable files demands a careful balance between detection effectiveness, computational efficiency, and analytical interpretability.…
AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection
Omran Berjawi, Walid fahs, Rida Khatoun
Email spam and phishing attacks remain a critical security threat. Adversaries increasingly exploit large language models to craft contextually convincing malicious messages, and e…
Bias Amplification in Multi-Agent Network: How Biased Agents Shape Opinions and Rhetoric
Omran Berjawi, Giuseppe Fenza, Rida Khatoun
Large language models (LLMs) are increasingly deployed in applications involving interaction between agents, where their output plays a role in collective reasoning and decision-ma…
A GAN-Based Framework for Robust DDoS Attack Detection
Makram Chehayeb, Walid Fahs, Amina Rizk +2
The availability and consistency of online services remain vulnerable due to Distributed Denial of Service (DDoS) attacks. These attacks are evolving by adopting more complex strat…
Behavioral Fingerprinting and Navigation Prediction in Web Browsing
Ralph Elsaghbini, Omran Berjawi, Walid Fahs +1
Web browsing often appears ephemeral: users visit a few websites, complete a task, and move on. However, even short fragments of browsing activity can contain rich and structured b…
Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion
Omran Berjawi, Rida Khatoun, Giuseppe Fenza
The studying of opinion dynamics and its propagation within social networks is crucial for addressing a wide range of challenges, including political polarization, public health, a…
From TinyGo to gc Compiler: Extending Zorya's Concolic Framework to Real-World Go Binaries
Karolina Gorna, Nicolas Iooss, Yannick Seurin +2
Zorya is a concolic execution framework that lifts compiled binaries to Ghidra's P-Code intermediate representation and uses the Z3 SMT solver to detect vulnerabilities by reasonin…
Zorya: Automated Concolic Execution of Single-Threaded Go Binaries
Karolina Gorna, Nicolas Iooss, Yannick Seurin +1
Go's adoption in critical infrastructure intensifies the need for systematic vulnerability detection, yet existing symbolic execution tools struggle with Go binaries due to runtime…
Exposing Go's Hidden Bugs: A Novel Concolic Framework
Karolina Gorna, Nicolas Iooss, Yannick Seurin +1
The widespread adoption of the Go programming language in infrastructure backends and blockchain projects has heightened the need for improved security measures. Established techni…