Poster: When Adversary Becomes the Guardian -- Towards Side-channel Security With Adversarial Attacks
Poster: When Adversary Becomes the Guardian -- Towards Side-channel Security With Adversarial Attacks
复制标题
海报：当对手成为守护者时——通过对抗性攻击迈向侧通道安全
DOI：
10.1145/3319535.3363284
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
S. Bhasin
中科院分区：
文献类型：
--
作者：
S. Picek;Dirmanto Jap;S. Bhasin
机器学习算法沦为对抗性例子的牺牲品。随着侧写侧通道攻击迅速采用基于机器学习的方法，甚至可以击败常用的侧通道对策，我们调查了敌意例子作为一种防御机制的潜力。我们表明，对抗性例子有可能作为对抗基于机器学习的旁路攻击的对策。此外，我们利用可转移性的性质来表明，一个常见的对抗性例子可以作为对抗一系列基于机器学习的旁路分类器的对策。
Machine learning algorithms fall prey to adversarial examples. As profiling side-channel attacks are seeing rapid adoption of machine learning-based approaches that can even defeat commonly used side-channel countermeasures, we investigate the potential of adversarial example as a defense mechanism. We show that adversarial examples have the potential to serve as a countermeasure against machine learning-based side-channel attacks. Further, we exploit the transferability property to show that a common adversarial example can act as a countermeasure against a range of machine learning-based side-channel classifiers.