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cs.CR2025
Can LLMs Make (Personalized) Access Control Decisions?
Friederike Groschupp, Daniele Lain, Aritra Dhar +2
Precise access control decisions are crucial for the security of both traditional applications and emerging agent-based systems. Typically, these decisions are made by users during…
cs.CR2025
RAG-Pull: Turning Retrieval into a Code-Injection Channel via Invisible Unicode Perturbations
Aritra Dhar, Vasilije Stambolic, Lukas Cavigelli
Retrieval-Augmented Generation (RAG) increases the reliability and trustworthiness of the LLM response and reduces hallucination by eliminating the need for model retraining. It do…
cs.CR2025
AC-LoRA: (Almost) Training-Free Access Control-Aware Multi-Modal LLMs
Lara Magdalena Lazier, Aritra Dhar, Vasilije Stambolic +1
Corporate LLMs are gaining traction for efficient knowledge dissemination and management within organizations. However, as current LLMs are vulnerable to leaking sensitive informat…