◍wovepaper
SearchResearchersInstitutions
Sign in
institution

Liechtenstein Institute

Liechtenstein

1 paper here1 citations across 1
fields
  • cs.CR1
ROR 02v7y7w12OpenAlex

affiliations via OpenAlex

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
  • Aurore Fass1
  • Ben Rosenzweig1
  • Giovanni Apruzzese1
  • Vincent Valle1
collaborating institutions
  • Helmholtz Center for Information SecurityDE1 paper
  • Reykjavík UniversityIS1 paper
  • Saarland UniversityDE1 paper
  • University of LiechtensteinLI1 paper

1 paper

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…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.