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Feb, 2018
模型压缩深度学习系统在对抗攻击下的安全分析与增强
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks
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Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin...
TL;DR
通过综合考虑模型重塑和输入扰动,本研究首次探讨了实际模型优化的深度学习系统中的多因素对抗攻击问题,并开发了一种名为“梯度抑制”的防御技术,能够有效减轻对软硬件导向深度学习的对抗攻击。
Abstract
dnn
is presenting human-level performance for many complex intelligent tasks in real-world applications. However, it also introduces ever-increasing security concerns. For example, the emerging
adversarial attacks
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