adaptive_attacks_paper:“针对对抗性示例防御的自适应攻击”的代码

上传者: 42129797 | 上传时间: 2022-10-29 23:49:44 | 文件大小: 63KB | 文件类型: ZIP
adaptive_attacks_paper “针对对抗性示例防御的自适应攻击”的代码

文件下载

资源详情

[{"title":"( 46 个子文件 63KB ) adaptive_attacks_paper:“针对对抗性示例防御的自适应攻击”的代码","children":[{"title":"adaptive_attacks_paper-master","children":[{"title":"02_odds","children":[{"title":"utils.py <span style='color:#111;'> 4.08KB </span>","children":null,"spread":false},{"title":"Attack.ipynb <span style='color:#111;'> 10.95KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 291B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 17B </span>","children":null,"spread":false},{"title":"setup.sh <span style='color:#111;'> 987B </span>","children":null,"spread":false}],"spread":true},{"title":"10_mixup","children":[{"title":"transforms.py <span style='color:#111;'> 2.80KB </span>","children":null,"spread":false},{"title":"mixup_attack.ipynb <span style='color:#111;'> 9.07KB </span>","children":null,"spread":false},{"title":"resnet_3layer.py <span style='color:#111;'> 10.48KB </span>","children":null,"spread":false}],"spread":true},{"title":"07_ensemble_diversity","children":[{"title":"diversity_attack.ipynb <span style='color:#111;'> 8.78KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 4.37KB </span>","children":null,"spread":false}],"spread":true},{"title":"11_menet","children":[{"title":"models","children":[{"title":"__init__.py <span style='color:#111;'> 22B </span>","children":null,"spread":false},{"title":"resnet.py <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false}],"spread":true},{"title":"Attack.ipynb <span style='color:#111;'> 14.60KB </span>","children":null,"spread":false},{"title":"defense.py <span style='color:#111;'> 3.42KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 217B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 20B </span>","children":null,"spread":false},{"title":"setup.sh <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 88B </span>","children":null,"spread":false},{"title":"03_generative","children":[{"title":"Attack_CIFAR10.ipynb <span style='color:#111;'> 28.81KB </span>","children":null,"spread":false},{"title":"models","children":[{"title":".gitignore <span style='color:#111;'> 11B </span>","children":null,"spread":false}],"spread":true},{"title":"defense","children":[{"title":"load_bayes_classifier.py <span style='color:#111;'> 9.61KB </span>","children":null,"spread":false},{"title":"detector.py <span style='color:#111;'> 4.83KB </span>","children":null,"spread":false},{"title":"vgg_cifar10.py <span style='color:#111;'> 5.45KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"convnet.py <span style='color:#111;'> 4.80KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"mlp.py <span style='color:#111;'> 1.09KB </span>","children":null,"spread":false},{"title":"load_bayes_classifier_on_fea.py <span style='color:#111;'> 10.15KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 117B </span>","children":null,"spread":false},{"title":"mlp_encoder_cifar10.py <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"lowerbound_functions.py <span style='color:#111;'> 13.08KB </span>","children":null,"spread":false},{"title":"load_classifier.py <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false},{"title":"conv_generator_cifar10_F.py <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false},{"title":"conv_encoder_cifar10.py <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"mlp_generator_cifar10_F.py <span style='color:#111;'> 1.38KB </span>","children":null,"spread":false}],"spread":false},{"title":"README.md <span style='color:#111;'> 338B </span>","children":null,"spread":false},{"title":"setup.sh <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 45B </span>","children":null,"spread":false},{"title":"01_kwta","children":[{"title":"kwta_attack.ipynb <span style='color:#111;'> 8.59KB </span>","children":null,"spread":false},{"title":"models.py <span style='color:#111;'> 5.44KB </span>","children":null,"spread":false},{"title":"resnet.py <span style='color:#111;'> 12.46KB </span>","children":null,"spread":false}],"spread":true},{"title":"12_asymmetrical","children":[{"title":"README.md <span style='color:#111;'> 400B </span>","children":null,"spread":false},{"title":"Attack_generative.ipynb <span style='color:#111;'> 8.74KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 17B </span>","children":null,"spread":false},{"title":"setup.sh <span style='color:#111;'> 1022B </span>","children":null,"spread":false},{"title":"Attack_integrated.ipynb <span style='color:#111;'> 12.16KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明