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Yew-Soon Ong

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#artificial intelligence Preprint Open access Sep 2026

Contagion on the Trading Floor: How Adversarial Signals Spread in Multi-Agent Trading Systems

Multi-agent trading systems built on large language models (LLMs) are beginning to appear in quantitative finance, yet their robustness to adversarial inputs is largely unknown. We study the vulnerability of LLM trading stacks to black-box, input-only attacks that enter solely via admissible social-media feeds. We intr...

Rong-Sua Qi, Jun-Hao Dong, Thai Duc Nguyen et al. · 0 citations
Sep 2026

Forbid Your Attention: Fooling Multimodal Large Language Models by Selectively Removing Intrinsic Focus in Spectral Domain

Multimodal large language models (MLLMs) have extended the capability of large language models (LLMs) to process more contextual multimodal information, showing remarkable progress in diverse realistic multimodal applications. Despite their strong perception and reasoning abilities, recent studies reveal that MLLMs rem...

Dai-Zong Liu, Junhao Dong, Zhi-Yuan Ma et al. · 0 citations

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