RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. (arXiv:2109.05211v4 [cs.CV] UPDATED)

Deep neural networks (DNNs) are vulnerable to adversarial noises, which
motivates the benchmark of model robustness. Existing benchmarks mainly focus
on evaluating defenses, but there are no comprehensive studies of how
architecture design and training techniques affect robustness. Comprehensively
benchmarking their relationships is beneficial for better understanding and
developing robust DNNs. Thus, we propose RobustART, the first comprehensive
Robustness investigation benchmark on ImageNet regarding ARchitecture design
(49 human-designed off-the-shelf architectures and 1200+ networks from neural
architecture search) and Training techniques …

architecture arxiv benchmarking cv design training