I-FGSM和ICCLM对抗算法.rar

上传者: sinat_43009982 | 上传时间: 2021-08-16 09:14:21 | 文件大小: 63.26MB | 文件类型: RAR
本资源是基于FGSM改进的I-FGSM算法和ICCLM算法,pytorch版本,jupyter文件,可以直接运行。

文件下载

资源详情

[{"title":"( 55 个子文件 63.26MB ) I-FGSM和ICCLM对抗算法.rar","children":[{"title":"I-FGSM和ICCLM对抗算法","children":[{"title":"ILLCM算法","children":[{"title":"Attacks","children":[{"title":"ILLCM.py <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"ILLCM.cpython-37.pyc <span style='color:#111;'> 1.87KB </span>","children":null,"spread":false},{"title":"BIM.cpython-37.pyc <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"FGSM.cpython-37.pyc <span style='color:#111;'> 1.78KB </span>","children":null,"spread":false}],"spread":true},{"title":".ipynb_checkpoints","children":null,"spread":false}],"spread":true},{"title":"utils.py <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"attack.py <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"utils.cpython-37.pyc <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"Net.cpython-37.pyc <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":"attack.cpython-37.pyc <span style='color:#111;'> 1.53KB </span>","children":null,"spread":false}],"spread":true},{"title":"main.ipynb <span style='color:#111;'> 181.17KB </span>","children":null,"spread":false},{"title":"weights","children":[{"title":"teacher_model_weights_T_100 <span style='color:#111;'> 87.99KB </span>","children":null,"spread":false},{"title":"lenet_mnist_model.pth <span style='color:#111;'> 86.64KB </span>","children":null,"spread":false},{"title":"lbfgs.pkl <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"adv_training.pt <span style='color:#111;'> 88.05KB </span>","children":null,"spread":false},{"title":"teacher_model_weights2 <span style='color:#111;'> 87.99KB </span>","children":null,"spread":false},{"title":"teacher_model_weights <span style='color:#111;'> 87.99KB </span>","children":null,"spread":false},{"title":"teacher_model_weights_T_500 <span style='color:#111;'> 87.99KB </span>","children":null,"spread":false},{"title":"base_training.pt <span style='color:#111;'> 88.05KB </span>","children":null,"spread":false}],"spread":true},{"title":".ipynb_checkpoints","children":[{"title":"main-checkpoint.ipynb <span style='color:#111;'> 184.50KB </span>","children":null,"spread":false}],"spread":true},{"title":"Net.py <span style='color:#111;'> 1.40KB </span>","children":null,"spread":false},{"title":"data_mnist","children":[{"title":"MNIST","children":[{"title":"raw","children":[{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte <span style='color:#111;'> 9.77KB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte <span style='color:#111;'> 44.86MB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </span>","children":null,"spread":false},{"title":"t10k-images-idx3-ubyte <span style='color:#111;'> 7.48MB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte <span style='color:#111;'> 58.60KB </span>","children":null,"spread":false}],"spread":true},{"title":"processed","children":[{"title":"test.pt <span style='color:#111;'> 7.55MB </span>","children":null,"spread":false},{"title":"training.pt <span style='color:#111;'> 45.32MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true},{"title":"I-FGSM算法","children":[{"title":"Attacks","children":[{"title":"__pycache__","children":[{"title":"BIM.cpython-37.pyc <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false},{"title":"FGSM.cpython-37.pyc <span style='color:#111;'> 1.78KB </span>","children":null,"spread":false}],"spread":true},{"title":"BIM.py <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false}],"spread":true},{"title":"utils.py <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"attack.py <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false},{"title":"main.ipynb <span style='color:#111;'> 180.93KB </span>","children":null,"spread":false},{"title":"weights","children":[{"title":"teacher_model_weights_T_100 <span style='color:#111;'> 87.99KB </span>","children":null,"spread":false},{"title":"lenet_mnist_model.pth <span style='color:#111;'> 86.64KB </span>","children":null,"spread":false},{"title":"lbfgs.pkl <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"adv_training.pt <span style='color:#111;'> 88.05KB </span>","children":null,"spread":false},{"title":"teacher_model_weights2 <span style='color:#111;'> 87.99KB </span>","children":null,"spread":false},{"title":"teacher_model_weights <span style='color:#111;'> 87.99KB </span>","children":null,"spread":false},{"title":"teacher_model_weights_T_500 <span style='color:#111;'> 87.99KB </span>","children":null,"spread":false},{"title":"base_training.pt <span style='color:#111;'> 88.05KB </span>","children":null,"spread":false}],"spread":true},{"title":"Net.py <span style='color:#111;'> 1.40KB </span>","children":null,"spread":false},{"title":"data_mnist","children":[{"title":"MNIST","children":[{"title":"raw","children":[{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte <span style='color:#111;'> 9.77KB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte <span style='color:#111;'> 44.86MB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </span>","children":null,"spread":false},{"title":"t10k-images-idx3-ubyte <span style='color:#111;'> 7.48MB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte <span style='color:#111;'> 58.60KB </span>","children":null,"spread":false}],"spread":true},{"title":"processed","children":[{"title":"test.pt <span style='color:#111;'> 7.55MB </span>","children":null,"spread":false},{"title":"training.pt <span style='color:#111;'> 45.32MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"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