Abstract

Recently, the Internet of Things (IoT) technology has made tremendous progress, and it is beginning to enter many areas of social life, such as autonomous driving, medical care, etc. Due to the massive data in IoT, deep neural networks (DNN) are often involved in helping process and analyzing data, but DNNs still face many security threats. Adversarial example attack is a common attack against DNN models, which interferes with model decisions through processed samples. It will undoubtedly threaten DNN-based IoT systems. This paper presents the possible attack scenarios of adversarial example attacks in IoT systems and extensively studies the defense methods of adversarial example attacks in IoT systems.

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