Hongjian Xing

Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models

Adversarial Security of Financial Language Models (ASFLM) is critical as Large Language Models (LLMs) pervade high-stakes financial applications. However, LLMs face two key challenges: their vulnerability to damaging adversarial attacks and the prevalent research gap concerning robust defenses again