BriefGPT.xyz
Jun, 2020
源代码神经模型中的后门
Backdoors in Neural Models of Source Code
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Goutham Ramakrishnan, Aws Albarghouthi
TL;DR
本文介绍了如何在源代码任务中注入后门(backdoors),并证明了如何使用鲁棒统计学算法来检测恶意数据。
Abstract
deep neural networks
are vulnerable to a range of adversaries. A particularly pernicious class of vulnerabilities are
backdoors
, where model predictions diverge in the presence of subtle triggers in inputs. An at
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