Security of Artificial Intelligence in Finance

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Type and Duration

Preproposal PhD-Thesis, since February 2024

Coordinator

Liechtenstein Business School

Main Research

Business Process Management

Description

This research project explores the genuine risks and vulnerabilities associated with leveraging machine learning across various financial functions. The aim is to develop methodologies for quantifying these risks and to conceive and test strategies aimed at enhancing the security and robustness of financial systems employing machine learning.

PhD-Student

Advije Rizvani

Supervisor

Prof. Dr. Pavel Laskov