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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
The Dark Side of the Web: Towards Understanding Various Data Sources in Cyber Threat Intelligence
Saskia Laura Schröer, Noé Canevascini, Irdin Pekaric +2
Cyber threats have become increasingly prevalent and sophisticated. Prior work has extracted actionable cyber threat intelligence (CTI), such as indicators of compromise, tactics,…
cs.CR2024
Emerging Security Challenges of Large Language Models
Herve Debar, Sven Dietrich, Pavel Laskov +2
Large language models (LLMs) have achieved record adoption in a short period of time across many different sectors including high importance areas such as education [4] and healthc…