Unverified50% confidenceFactExact time
Attack Success Rate (ASR) measures the proportion of model outputs that predict the target class on triggered test inputs, and is the core metric for evaluating whether a backdoor has been removed.
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50%
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Long-term
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10/11/2026
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UnverifiedThe industry is exploring the use of Attack Success Rate (ASR) as a replacement for 'whether a vulnerability exists' as an LLM security evaluation metric.72% similarUnverifiedMETR focuses on evaluating whether frontier models possess high-risk capabilities such as autonomous replication, deceptive manipulation, or assisting large-scale destructive actions.70% similarUnverifiedEvaluations closer to real deployment should include multi-step task chains with real consequences, penalty mechanisms for over-execution and destructive operations, permission management and rollback safety testing, and the ability to proactively seek clarification when facing ambiguous instructions.68% similarUnverifiedThe focus of evaluation is shifting from the quality of model text output to the ability of agents to complete end-to-end tasks, with evaluation dimensions expanding from a single accuracy metric to multi-dimensional metrics including task completion rate, step efficiency, error recovery capability, and time overhead.68% similarUnverifiedMETR (formerly ARC Evals) focuses on evaluating the dangerous capabilities of frontier models68% similar
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