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5 years ago | |
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README.md | 5 years ago | |
lenet5_net.py | 5 years ago | |
mnist_attack_cw.py | 5 years ago | |
mnist_attack_deepfool.py | 5 years ago | |
mnist_attack_fgsm.py | 5 years ago | |
mnist_attack_genetic.py | 5 years ago | |
mnist_attack_hsja.py | 5 years ago | |
mnist_attack_jsma.py | 5 years ago | |
mnist_attack_lbfgs.py | 5 years ago | |
mnist_attack_nes.py | 5 years ago | |
mnist_attack_pgd.py | 5 years ago | |
mnist_attack_pointwise.py | 5 years ago | |
mnist_attack_pso.py | 5 years ago | |
mnist_attack_salt_and_pepper.py | 5 years ago | |
mnist_defense_nad.py | 5 years ago | |
mnist_evaluation.py | 5 years ago | |
mnist_similarity_detector.py | 5 years ago | |
mnist_train.py | 5 years ago |
The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from MNIST. The digits have been size-normalized and centered in a fixed-size image.
$ cd example/mnist_demo
$ mkdir MNIST_unzip
$ cd MNIST_unzip
$ mkdir train
$ mkdir test
$ cd train
$ wget "http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz"
$ wget "http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz"
$ gzip train-images-idx3-ubyte.gz -d
$ gzip train-labels-idx1-ubyte.gz -d
$ cd ../test
$ wget "http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz"
$ wget "http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz"
$ gzip t10k-images-idx3-ubyte.gz -d
$ gzip t10k-images-idx3-ubyte.gz -d
$ cd ../../
$ python mnist_train.py
$ mkdir out.data
$ python mnist_attack_jsma.py
$ python mnist_defense_nad.py
$ python mnist_similarity_detector.py
MindArmour关注AI的安全和隐私问题。致力于增强模型的安全可信、保护用户的数据隐私。主要包含3个模块:对抗样本鲁棒性模块、Fuzz Testing模块、隐私保护与评估模块。 对抗样本鲁棒性模块 对抗样本鲁棒性模块用于评估模型对于对抗样本的鲁棒性,并提供模型增强方法用于增强模型抗对抗样本攻击的能力,提升模型鲁棒性。对抗样本鲁棒性模块包含了4个子模块:对抗样本的生成、对抗样本的检测、模型防御、攻防评估。
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