most citedIt's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store

1 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

2 papers

cs.CR2026

Adversarial News and Lost Profits: Manipulating Headlines in LLM-Driven Algorithmic Trading

Advije Rizvani, Giovanni Apruzzese, Pavel Laskov

Large Language Models (LLMs) are increasingly adopted in the financial domain. Their exceptional capabilities to analyse textual data make them well-suited for inferring the sentim…

cs.CR2025★ 1 cited

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…