DeepsecBench-AA Benchmark Leaderboard
DeepsecBench-AA F2
점수
DeepsecBench-AA
DeepsecBench-AA: 점수 vs. 작업당 비용
토큰 사용량
DeepsecBench-AA: 작업당 출력 토큰
비용
DeepsecBench-AA: 작업당 비용
속도
DeepsecBench-AA: 작업당 시간
점수 vs. 출시일
DeepsecBench-AA: 점수 vs. 출시일
자주 묻는 질문
DeepsecBench-AA는 Vercel의 방어적 사이버 보안 벤치마크 DeepsecBench를 Artificial Analysis가 구현한 것입니다. 에이전트는 실제 오픈 소스 애플리케이션 코드를 검토해 찾은 취약점과 버그를 보고하며, 이 발견 사항은 인간 전문가가 검증한 골든 세트와 비교해 채점됩니다.
평가 모델이 각 발견 사항이 실제인지 판단하고 골든 세트와 대조합니다. 주요 점수는 F2 = 100 × 5PR / (4P + R)이며, P는 정밀도, R은 재현율입니다. 따라서 재현율이 더 중요하게 반영됩니다. 평가를 세 번 실행하고 F2의 중앙값을 보고합니다.
DeepsecBench-AA는 모든 모델을 동일한 프롬프트와 도구로 당사의 오픈 소스 에이전트 하네스 Stirrup에서 실행합니다. 따라서 이 페이지의 점수는 Vercel이 공개한 결과와 직접 비교할 수 없습니다.
아니요. Vercel과 마찬가지로 소스 코드, 파일, 골든 세트 내용을 공개하지 않으며, 이는 골든 세트 내용이 학습 데이터에 포함되지 않도록 하는 데 도움이 됩니다.
예. DeepsecBench-AA는 Artificial Analysis Cyber Index를 구성하는 세 가지 평가 중 하나이며, CWE-Bench-AA 및 CyberGym-E2E-AA와 동일한 가중치를 가집니다. Artificial Analysis Intelligence Index에는 포함되지 않습니다.
평가 살펴보기
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