An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks

15 Jun 2020Ruixiang TangMengnan DuNinghao LiuFan YangXia Hu

With the widespread use of deep neural networks (DNNs) in high-stake applications, the security problem of the DNN models has received extensive attention. In this paper, we investigate a specific security problem called trojan attack, which aims to attack deployed DNN systems relying on the hidden trigger patterns inserted by malicious hackers... (read more)

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