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cs.CR2026
AgentProv: Auditing Agentic LLM API Providers via Tool-use Policy Probes
Xun Wang, Bihe Zhao, Michael Backes +2
Commercial LLM APIs advertise a specific foundation model, but the served backbone may be silently substituted, quantized, or wrapped, for example to save deployment costs. All exi…
cs.CR2026
Here is a GIFT: Enforcing User Data Isolation in LLM Serving via GPU Information Flow Tracking
Jiacheng Shi, Xunjie Wang, Cheng Tan +1
LLM serving frameworks process large volumes of user data--often containing sensitive information--on shared infrastructure. Ensuring isolation between users who share the same ser…
cs.CR2025
TZ-LLM: Protecting On-Device Large Language Models with Arm TrustZone
Xunjie Wang, Jiacheng Shi, Zihan Zhao +3
Large Language Models (LLMs) deployed on mobile devices offer benefits like user privacy and reduced network latency, but introduce a significant security risk: the leakage of prop…