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View all- Ma QQin JYan KWang LSun H(2023)Stealthy Frequency-Domain Backdoor Attacks: Fourier Decomposition and Fundamental Frequency InjectionIEEE Signal Processing Letters10.1109/LSP.2023.333012630(1677-1681)Online publication date: 2023
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 ...
A recent trojan attack on deep neural network (DNN) models is one insidious variant of data poisoning attacks. Trojan attacks exploit an effective backdoor created in a DNN model by leveraging the difficulty in interpretability of the learned model to ...
Backdoor attacks targeting the deep neural network are flourishing recently and are more stealthy than existing adversarial attacks. A deep understanding of the backdoor attacks targeting malware detection models is still missing. We design a ...
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