•证明了配备有国防措施并受到对抗性攻击的ML模型的定量可靠性和弹性评估方法的适用性。Results • Software reliability growth models incorporating covariates more accurately track and predict the number of defects detected than models without covariates • Resilience models considering negative and positive factors characterizing the deterioration and recovery of a system are also able to precisely track and predict the resilience of defensive measures for ML subject to specific attacks Future research • Explore the application of these models to cyber-physical systems • Incorporate these reliability and resilience models进入维护模型
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