ShadowMem

ShadowMem: Protección de agentes LLM contra amenazas de horizonte largo mediante memoria sombra Este repositorio contiene la publicación oficial del código para el artículo Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory. ShadowMem es un marco defensivo que mantiene una...

Security Assessment and Mitigation Strategies for Large Language Models: A Comprehensive Defensive Framework

Large Language Models increasingly power critical infrastructure from healthcare to finance, yet their vulnerability to adversarial manipulation threatens system integrity and user safety. Despite growing deployment, no comprehensive comparative security assessment exists across major LLM...