Pasquale De Rosa

Welcome to my website! I’m Pasquale De Rosa, a machine learning and security researcher with a Ph.D. in Computer Science from the University of Neuchâtel, Switzerland. I work on applying machine learning to improve the security and efficiency of decentralized systems, with a focus on detecting malicious smart contracts through bytecode analysis. I have also conducted research on cryptocurrency market dynamics using time series forecasting models.

Outside of my academic work, I’m a passionate retro gamer, comic book enthusiast, and music lover, especially when it comes to rock and metal. I’m also a beginner keyboardist, exploring the world of music in my free time. Traveling is another big passion of mine, and I support the use of open-source software.

On this site, you’ll find a snapshot of my work and interests. Check out my interactive CV and browse through my full list of publications.

I also run a blog, where I dive into tech topics and share insights from my latest research, aiming to make complex ideas accessible to everyone.

Enjoy exploring!

Latest post

Jul 29, 2025	PhishingHook: Catching Ethereum Scams Before They Strike

Latest publication

ACCESS

Seeing Through EVM Bytecode Obfuscation

Pasquale De Rosa, Pascal Felber, and Valerio Schiavoni

IEEE Access, 2026

DOI Bib

@article{11373339,
  author = {De Rosa, Pasquale and Felber, Pascal and Schiavoni, Valerio},
  journal = {IEEE Access},
  title = {Seeing Through EVM Bytecode Obfuscation},
  year = {2026},
  volume = {14},
  number = {},
  pages = {25515-25536},
  keywords = {Blockchains;Codes;Smart contracts;Malware;Semantics;Virtual machines;Source coding;Flowering plants;Phishing;Logic;Bytecode;detectors;EVM;machine learning;malware;obfuscation;smart contracts;vision},
  doi = {10.1109/ACCESS.2026.3662238},
}