2 citations · 3 across the 4 of their papers we have counts for
4 papers
LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks
Francesco Panebianco, Stefano Bonfanti, Francesco Trovò +1
The generalization capabilities of Large Language Models (LLMs) have led to their widespread deployment across various applications. However, this increased adoption has introduced…
How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World
Francesco Panebianco, Mario D'Onghia, Stefano Zanero aand Michele Carminati
Deep learning systems, critical in domains like autonomous vehicles, are vulnerable to adversarial examples (crafted inputs designed to mislead classifiers). This study investigate…
Poster: libdebug, Build Your Own Debugger for a Better (Hello) World
Gabriele Digregorio, Roberto Alessandro Bertolini, Francesco Panebianco +1
Automated debugging, long pursued in a variety of fields from software engineering to cybersecurity, requires a framework that offers the building blocks for a programmable debuggi…
Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
Marco Di Gennaro, Francesco Panebianco, Marco Pianta +2
Money laundering is a financial crime that poses a serious threat to financial integrity and social security. The growing number of transactions makes it necessary to use automatic…