58 citations · 116 across the 12 of their papers we have counts for
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cs.CV2023★ 4 cited
Backdoor Defense via Adaptively Splitting Poisoned Dataset
Kuofeng Gao, Yang Bai, Jindong Gu +2
Backdoor defenses have been studied to alleviate the threat of deep neural networks (DNNs) being backdoor attacked and thus maliciously altered. Since DNNs usually adopt some exter…
cs.CR2023★ 11 cited
BackdoorBox: A Python Toolbox for Backdoor Learning
Yiming Li, Mengxi Ya, Yang Bai +2
Third-party resources (, samples, backbones, and pre-trained models) are usually involved in the training of deep neural networks (DNNs), which brings backdoor attacks as a n…