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PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications. (arXiv:2208.04943v1 [cs.LG])
Aug. 11, 2022, 1:20 a.m. | Diego Garcia-soto, Huili Chen, Farinaz Koushanfar
cs.CR updates on arXiv.org arxiv.org
Deep Neural Networks (DNNs) have been shown to be susceptible to Trojan
attacks. Neural Trojan is a type of targeted poisoning attack that embeds the
backdoor into the victim and is activated by the trigger in the input space.
The increasing deployment of DNNs in critical systems and the surge of
outsourcing DNN training (which makes Trojan attack easier) makes the detection
of Trojan attacks necessary. While Neural Trojan detection has been studied in
the image domain, there is a …
More from arxiv.org / cs.CR updates on arXiv.org
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