ShadowMem

ShadowMem: Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory This repository contains the official code release for the paper Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory. ShadowMem is a defensive framework that maintains a dedicated, safety-focused...

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...