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Abhishek Kumar

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#artificial intelligence Preprint Oct 2026

MLCommons Jailbreak Benchmark v1.0

Modern AI systems are designed to refuse hazardous requests. A jailbreak is a prompt crafted to bypass those safeguards and elicit outputs that the system would normally refuse to provide. The MLCommons Jailbreak Benchmark v1.0 provides an end-to-end methodology for evaluating the robustness of large language models to...

C. Maple, Cagatay Yucel, Isaac Holeman et al. · 0 citations
Preprint Jul 2026

Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding Agents

These results show that conversational refusal benchmarks can substantially overstate the safety of deployed coding agents and motivate defenses that reason about safety across multi-turn IDE workflows and their generated artifacts, not only individual chat turns.

Abhishek Kumar, C. Maple · 0 citations

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