3 papers
cs.CR2026
"What Happens Locally, Leaks Globally": Detecting Privacy Leakage Risks in MCP Servers
Biwei Yan, Minghui Xu, Yijun Yang +4
The Model Context Protocol (MCP) has rapidly become the de facto standard for connecting large language models (LLMs) to external resources, but it also introduces a class of priva…
cs.CV2026
MIRAGE: Stealthy Visual Prompt Injection for Vulnerability Detection in Web Agents
Xuelong Dai, Jianyu Ma, Boyang Ma +3
Multimodal Large Language Model (MLLM)-based web agents provide practical, high-precision solutions for visual browser automation; however, they inherently expand the attack surfac…
cs.LG2026
Dynamic Adversarial Fine-Tuning Reorganizes Refusal Geometry
Wenhao Lan, Shan Li, Xinhua Lai +4
Safety-aligned language models must refuse harmful requests without broad over-refusal, but it remains unclear how dynamic adversarial fine-tuning changes refusal-control carriers:…