Deep learning-based natural language processing (NLP) models, particularly pre-trained
language models (PLMs), have been revealed to be vulnerable to adversarial attacks …

Emotion detection from text is a crucial task in understanding natural language with wide-
ranging applications. Existing approaches for multilingual emotion detection from text face …

The goal of portfolio management is to simultaneously maximize the accumulated return and
also to control risk. In consecutive trading periods, portfolio manager needs to continuously …

Financial sentiment analysis models, which extract meaning from vast amounts of
unstructured data, play a crucial role in sentiment-driven financial decisions. However, the …

Adversarial attacks on financial sentiment analysis models are a critical area of research
within NLP. We introduce a novel white-box attack method that leverages a pre-trained …