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Canary_Master
CanarySEFI is a framework for evaluating the robustness of deep learning-based image recognition models. It can evaluate model robustness and attack/defense algorithm effectiveness, encompassing 26 metrics, including 15 models pre-trained by CIFAR-10, CIFAR-100, Fashion-MNIST, and ImageNet (with weights), 20+ attack methods, and 10+ defense methods
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Canary_Master_fork
CanarySEFI is a framework for evaluating the robustness of deep learning-based image recognition models. It can evaluate model robustness and attack/defense algorithm effectiveness, encompassing 26 metrics, including 15 models pre-trained by CIFAR-10, CIFAR-100, Fashion-MNIST, and ImageNet (with weights), 20+ attack methods, and 10+ defense methods
Jotang-Infra-Wiki
焦糖工作室基础设施使用指南（知识库）
jotang.party
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whoamTV's Repositories
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whoamTV/Canary_Master_fork
CanarySEFI is a framework for evaluating the robustness of deep learning-based image recognition models. It can evaluate model robustness and attack/defense algorithm effectiveness, encompassing 26 metrics, including 15 models pre-trained by CIFAR-10, CIFAR-100, Fashion-MNIST, and ImageNet (with weights), 20+ attack methods, and 10+ defense methods
whoamTV/Jotang-Infra-Wiki
焦糖工作室基础设施使用指南（知识库）
whoamTV/jotang.party
Index Page of JoTang