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

Reference

Rizvani, A. A. (2026). Adversarial News and Lost Profits: Manipulating Headlines in LLM-Driven Algorithmic Trading. Paper presented at the 4th IEEE Conference on Secure and Trustworthy Machine Learning, Munich, Germany.

Publication Type

Paper in Conference Proceedings

Staff Members

Prof. Dr. Pavel Laskov Dr. Giovanni Apruzzese Advije Rizvani

Participating Institutions

Liechtenstein Business School Data and Application Security

Research

SAMLAF: Security Assessment of Machine Learning Applications in Finance
FFF-Funding Project
September 2023 until February 2025 (finished)
Algorithmic trading has become a vital instrument in the financial services industry. Automatic decision making on financial markets with the help of intelligent algorithms enables traders to ... More