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Jul, 2022
PRoA:一种针对功能扰动的概率稳健性评估方法
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations
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Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend
TL;DR
本文提出一种新的概率鲁棒性评估方法(PR0A),用于测量深度学习模型对功能扰动的鲁棒性,可以提供模型失败的概率性保证。该方法在实际中具有较高的效力和灵活性,并且相比于已有的基准线,它可以与各种大规模深度神经网络进行良好的扩展。
Abstract
In safety-critical
deep learning
applications
robustness
measurement is a vital pre-deployment phase. However, existing
robustness
verific
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