[2602.24009] Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking

Computer Science > Cryptography and Security arXiv:2602.24009 (cs) [Submitted on 27 Feb 2026] Title:Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking Authors:Zhicheng Fang, Jingjie Zheng, Chenxu Fu, Wei Xu View a PDF of the paper titled Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking, by Zhicheng Fang and 3 other authors View PDF Abstract:Jailbreak techniques for large language models (LLMs) evolve faster than benchmarks, making robustness estimates stale and difficult to compare across papers due to drift in datasets, harnesses, and judging protocols. We introduce JAILBREAK FOUNDRY (JBF), a system that addresses this gap via a multi-agent workflow to translate jailbreak papers into executable modules for immediate evaluation within a unified harness. JBF features three core components: (i) JBF-LIB for shared contracts and reusable utilities; (ii) JBF-FORGE for the multi-agent paper-to-module translation; and (iii) JBF-EVAL for standardizing evaluations. Across 30 reproduced attacks, JBF achieves high fidelity with a mean (reproduced-reported) attack success rate (ASR) deviation of +0.26 percentage points. By leveraging shared infrastructure, JBF reduces attack-specific implementation code by nearly half relative to original repositories and achieves an 82.5% mean reused-code ratio. This system enables a standardized AdvBench evaluation of all 30 attacks across 10 victim models using a consistent GPT-4o judge....