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BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. (arXiv:2206.12654v1 [cs.LG])
June 28, 2022, 1:20 a.m. | Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha
cs.CR updates on arXiv.org arxiv.org
Backdoor learning is an emerging and important topic of studying the
vulnerability of deep neural networks (DNNs). Many pioneering backdoor attack
and defense methods are being proposed successively or concurrently, in the
status of a rapid arms race. However, we find that the evaluations of new
methods are often unthorough to verify their claims and real performance,
mainly due to the rapid development, diverse settings, as well as the
difficulties of implementation and reproducibility. Without thorough
evaluations and comparisons, it …
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