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TRUSS reveals that incorporating execution evidence can dramatically improve both the safety and effectiveness of automated agent skills, achieving unprecedented vulnerability detection rates.
Over 95% reduction in backdoor attack success rates with only 0.1% neuron intervention reveals a breakthrough in LLM security.
