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cs.CR2026
Spider-Sense: Intrinsic Risk Sensing for Efficient Agent Defense with Hierarchical Adaptive Screening
Zhenxiong Yu, Zhi Yang, Zhiheng Jin +19
As large language models (LLMs) evolve into autonomous agents, their real-world applicability has expanded significantly, accompanied by new security challenges. Most existing agen…
cs.CR2026
FinVault: Benchmarking Financial Agent Safety in Execution-Grounded Environments
Zhi Yang, Runguo Li, Qiqi Qiang +15
Financial agents powered by large language models (LLMs) are increasingly deployed for investment analysis, risk assessment, and automated decision-making, where their abilities to…
cs.CR2025
ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMs
Ziyi Ni, Hao Wang, Huacan Wang
Large Language Models (LLMs) have achieved remarkable success in various domains but remain vulnerable to adversarial jailbreak attacks. Existing prompt-defense strategies, includi…