NeoSunJZ/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
PythonApache-2.0
Stargazers
- NeoSunJZShanghai
- gisliteBejing, China
- SepehrSameni
- ChiunHauYouHangzhou, China
- FabriceYoparSwitzerland
- ST-CharaChina
- MartinchlerBoston
- MustafaFiserReston, VA
- HuaizhulaFUMountain View
- dengdcom北京
- yzzmmTokyo
- hlmu
- Zhou-AYWuhan, China
- whoamTV
- wqh-31
- KevinelloChina
- leid19
- summorsmi
- az1mus
- xbx12138
- eternalld
- Jump-Wang-111China
- emmmmmmmnmn
- RHLotus
- Lillyyouwu
- Blamejin
- zsaba