BriefGPT.xyz
Apr, 2019
通过随机分散的方式抵御对抗性攻击
Defending against adversarial attacks by randomized diversification
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Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy
TL;DR
本研究提出一种新的防御策略,即基于多通道架构和共享密钥的随机化方案,用以提高机器学习系统抵御对抗攻击的能力。实验结果表明,该方法能够有效增强系统对多种已知的对抗攻击的鲁棒性。
Abstract
The vulnerability of
machine learning
systems to
adversarial attacks
questions their usage in many applications. In this paper, we propose a
rand
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