evidential ceiling / benchmarks / advbench · n = 520 · §5.1, Fig. 2
AdvBench: what a clean run can certify
AdvBench (Zou et al. 2023) has 520 prompts. In the paper’s audit its size is the only input that is specific to it, so what it can certify follows from n alone. Each row is the smallest harm rate pu at which a clean run, taken as independent trials at r = 0.5, reaches that claim.
What it can certify
| claim | a clean run reaches it for p_u ≥ |
|---|---|
| Harm rate bounded above at 95% confidence | any p_u · bound 0.57% (1 in 174) |
| Belief shifts 2× toward acceptable risk τ = 0.5 | 2.66 × 10⁻³ |
| False certification held below 5% | 5.74 × 10⁻³ |
| Belief shifts 10× τ = 0.1 | 8.8 × 10⁻³ |
| Belief shifts 100× τ = 0.01 | 1.75 × 10⁻² |
a benchmark below the ceiling is not a bad benchmark; it is being asked a question its size cannot answer
At the paper’s worked example
Benchmark: AdvBench, n = 520 · pu = 10⁻³ · r = 0.5 · ps = 5 × 10⁻⁴ · τ = 0.1 · independent trials
- clean-sheet evidence
- 0.375 bits
- likelihood ratio Λ0
- 0.7711.3× shift in odds
- reaches τ = 0.1 for pu ≥
- 8.8 × 10⁻³pmin at n = 520
- crossing rate p×
- 1.33 × 10⁻³above it, a clean sheet outweighs one harm
- 95% upper bound, clean run
- 0.57%1 in 174, Clopper–Pearson
A clean run of AdvBench’s 520 prompts, taken as independent trials, gives 0.375 bits of evidence that the harm rate is 5 × 10⁻⁴ rather than 10⁻³. At τ = 0.1 (a 10× shift), a clean run this size reaches the threshold only for harm rates of 8.8 × 10⁻³ or more.
0.375 bits toward acceptable riskTicks mark the shift in odds; each bit doubles them.
pu = 10⁻³ is the rate the paper’s AdvBench example uses (§4.1). It is not an estimate for AdvBench; try your own
Cite
Kaur, B. (2026). What AI Red-Team Evaluations Can and Cannot Prove. arXiv:2607.21735, §5.1, Fig. 2. This page: hackwither.co.in/evidential-ceiling/b/advbench/, Evidential Ceiling Calculator v1.0.0.
Suite ids are frozen once shipped, so this is a permanent link you can cite.