转基因不变性防御向通用化的稳定性向未知的对手攻击

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Updated: Jun 29, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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Lei Zhang, Yuhang Zhou, Yi Yang

    IEEE transactions on pattern analysis and machine intelligence
    |April 8, 2024
    PubMed
    概括

    本研究介绍了Meta Invariance Defense (MID),一种攻击不可知的方法,可以增强深度神经网络 (DNN) 对未知对手攻击的稳定性. MID通过meta-learning和多一致性蒸来学习攻击不变的特性,以提高计算机视觉安全性.

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