8 papers
I can't recognize (yet): Delayed Rendering to Defeat Visual Phishing Detectors
Ying Yuan, Cristiano Alex Rado, Giovanni Apruzzese +2
Phishing webpages are continuously polluting the Web. Plenty of countermeasures have been proposed and the most advanced techniques leverage machine-learning methods that infer whe…
Misleading Large Language Models used (or misused) in Scientific Peer-Reviewing via Hidden Prompt-Injection Attacks
Matteo Gioele Collu, Umberto Salviati, Roberto Confalonieri +2
Large Language Models (LLMs) are increasingly being integrated into the scientific peer-review process, raising new questions about their reliability and resilience to manipulation…
X-raying the arXiv: A Large-Scale Analysis of arXiv Submissions' Source Files
Giovanni Apruzzese, Aurore Fass
arXiv is the largest open-access repository for scientific literature. When submitting a paper, authors upload the manuscript's source files, from which the final PDF is compiled.…
It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
Ben Rosenzweig, Valentino Dalla Valle, Giovanni Apruzzese +1
Google Chrome is the most popular Web browser. Users can customize it with extensions that enhance their browsing experience. The most well-known marketplace of such extensions is…
E-PhishGen: Unlocking Novel Research in Phishing Email Detection
Luca Pajola, Eugenio Caripoti, Stefan Banzer +3
Every day, our inboxes are flooded with unsolicited emails, ranging between annoying spam to more subtle phishing scams. Unfortunately, despite abundant prior efforts proposing sol…
Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research
Luca Pajola, Saskia Laura Schröer, Pier Paolo Tricomi +2
Billions of individuals engage with Online Social Networks (OSN) daily. The owners of OSN try to meet the demands of their end-users while complying with business necessities. Such…