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Home/Authors/Ryle Goehausen

Ryle Goehausen

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

ML×1Crypto×1

Frequent co-authors

Marcus Sousa1×

Research Timeline

2026
Gate AI: LLM Security Benchmark Evaluation Methodology and Results

The paper introduces a robust evaluation methodology, Gate AI, to accurately benchmark LLM security detectors by eliminating systematic weaknesses like per-dataset threshold tuning and undisclosed operating points.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.CRRecentJun 1, 2026

Gate AI: LLM Security Benchmark Evaluation Methodology and Results

Ryle Goehausen, Marcus Sousa

The paper introduces a robust evaluation methodology, Gate AI, to accurately benchmark LLM security detectors by eliminating systematic weaknesses like per-dataset threshold tuning and undisclosed ope…

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