Auto43%Harbor: pendingSafety & AlignmentAgentic / Tool Use

Jailbreak Guardrails Benchmark

Benchmarking Jailbreak Guardrails for Embodied Agents

A framework evaluating 6 guardrails on embodied agents against jailbreaks and safe instructions, measuring defense, usability, and efficiency.

How to run

ltb · jailbreak-guardrails-benchmark
$ npm i -g lettokenburn-cli
$ ltb bench info jailbreak-guardrails-benchmark

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

2 sourced entries
HarnessSourceConfidenceLink
GPT-4o40.0N/AIndependentmediumOct 5, 2026arxiv.org
DeepSeek V3.240.3N/AIndependentmediumOct 5, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

The benchmark evaluates six representative guardrails integrated into embodied agent pipelines at perception, planning, or control stages. It uses template-based and automated jailbreak attacks alongside safe instructions to assess system-level performance.

Scoring focuses on three dimensions: defense effectiveness (bypass/hazard rates), usability (false-positive/task completion rates), and efficiency (latency overhead). Results reveal trade-offs among these dimensions, showing no single guardrail dominates across all settings.