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Updated: Jan 9, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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Deep Neural Networks for Image-Based Dietary Assessment

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通过双重随机性和几何规范化来增强DNN对抗性强度

Xiang Wu1, Gangtao Han2

  • 1School of Cyber Science and Engineering, Zhengzhou University, Zhengzhou 450001, China.

Sensors (Basel, Switzerland)
|December 11, 2025
PubMed
概括

双随机性和几何规范化 (DSGN) 通过使用可学习的噪音和几何规范化来增强深度神经网络 (DNN) 的安全性. 这种新的框架可以提高对抗性稳定性,同时在关键应用中保持高精度.

关键词:
敌对的攻击是对抗性的攻击.敌对的强度 敌对的强度深度神经网络是一个神经网络.模型不确定性的不确定性

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