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OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
April 9, 2024, 4:12 a.m. | Haoyu Jiang, Haiyang Yu, Nan Li, Ping Yi
cs.CR updates on arXiv.org arxiv.org
Abstract: Deep neural networks (DNNs) have been found vulnerable to backdoor attacks, raising security concerns about their deployment in mission-critical applications. There are various approaches to detect backdoor attacks, however they all make certain assumptions about the target attack to be detected and require equal and huge numbers of clean and backdoor samples for training, which renders these detection methods quite limiting in real-world circumstances.
This study proposes a novel one-class classification framework called One-class Graph …
applications arxiv attack attacks backdoor backdoor attacks class classification critical cs.ai cs.cr cs.lg deployment detect detection found graph mission networks neural networks security security concerns target vulnerable
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