20 citations · 21 across the 9 of their papers we have counts for
4 papers · 1 filter
Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
Meysam Alizadeh, Fabrizio Gilardi, Zeynab Samei +1
Large language models (LLMs) have traditionally relied on static training data, limiting their knowledge to fixed snapshots. Recent advancements, however, have equipped LLMs with w…
Data marketplaces can increase the willingness to share social media data at low prices
Meysam Alizadeh, Fabrizio Gilardi
Living in the Post API age, researchers face unprecedented challenges in obtaining social media data, while users are concerned about how big tech companies use their data. Data do…
Societal AI Research Has Become Less Interdisciplinary
Dror Kris Markus, Fabrizio Gilardi, Daria Stetsenko
As artificial intelligence (AI) systems become deeply embedded in everyday life, calls to align AI development with ethical and societal values have intensified. Interdisciplinary…
Simple Prompt Injection Attacks Can Leak Personal Data Observed by LLM Agents During Task Execution
Meysam Alizadeh, Zeynab Samei, Daria Stetsenko +1
Previous benchmarks on prompt injection in large language models (LLMs) have primarily focused on generic tasks and attacks, offering limited insights into more complex threats lik…