May 10, 2024, 4:45 a.m. | Binxiao Huang, Jason Chun Lok, Chang Liu, Ngai Wong

cs.CV updates on

arXiv:2405.05573v1 Announce Type: new
Abstract: Poisoning-based backdoor attacks expose vulnerabilities in the data preparation stage of deep neural network (DNN) training. The DNNs trained on the poisoned dataset will be embedded with a backdoor, making them behave well on clean data while outputting malicious predictions whenever a trigger is applied. To exploit the abundant information contained in the input data to output label mapping, our scheme utilizes the network trained from the clean dataset as a trigger generator to produce …

abstract arxiv attacks backdoor clean data data data preparation dataset deep neural network dnn embedded making network neural network positive predictions stage them training type vulnerabilities while will

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