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ACL 2026longmain

Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization

Haochun Tang, Yuliang Yan, Jiahua Lu, Huaxiao Liu, Enyan Dai

Hong Kong University of Science and Technology(Guangzhou) · The Hong Kong University of Science and Technology (Guangzhou) · Jilin University · HKUST(GZ)

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.18653/v1/2026.acl-long.2051 ↗

摘要

Cost-aware routing dynamically dispatches user queries to models of varying capability to balance performance and inference cost. However, the routing strategy introduces new security concern that adversaries may manipulate router to consistently select expensive high-capability models. Existing routing attacks depend either on white-box access or heuristic prompts, rendering them ineffective in real-world black-box scenarios. In this work, we propose R^2A, which aims to mislead black-box LLM routers to expensive models via adversarial suffix optimization. Specifically, R^2A deploys a hybrid ensemble surrogate router to mimic the black-box router. A suffix optimization algorithm is further adapted for the ensemble-based surrogate. Extensive experiments on multiple open-source and commercial routing systems demonstrate that R^2A significantly increases the routing rate to expensive models on queries of different distributions. Code and examples: https://github.com/thcxiker/R2A-Attack.