BriefGPT.xyz
Nov, 2023
再三考虑?请让我们听听
Having Second Thoughts? Let's hear it
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Jung H. Lee, Sujith Vijayan
TL;DR
深度学习模型与人类决策过程相似,但其决策过程易受干扰。我们提出了一种新的注证过程,通过模拟选择性注意力来增强深度学习模型的鲁棒性。实证评估表明,这种新的注证过程可以提高深度学习模型的准确性,并帮助我们建立安全措施以减轻其在人工和自然对抗样本方面的脆弱性。
Abstract
deep learning models
loosely mimic bottom-up signal pathways from low-order sensory areas to high-order cognitive areas. After training, DL models can outperform humans on some domain-specific tasks, but their
decision-
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