natural-language-processing computer-vision deep-learning tensorflow coursera generative-adversarial-network neural-networks deeplearning-ai JupyterNotebook

”natural-language-processing computer-vision deep-learning tensorflow coursera generative-adversarial-network neural-networks deeplearning-ai JupyterNotebook“ 的搜索结果

Domain-Adversarial-Neural-Network:领域对抗神经网络在 Tensorflow 中的实现

标签： tensorflow tensorflow-models adversarial-learning domain-adaptation tensorflow-2 Python

Tensorflow 中的领域对抗神经网络域对抗神经网络在 Tensorflow 中的实现。重新创建 MNIST 到 MNIST-M 实验。使用tensorflow-gpu==2.0.0和python 3.7.4 。MNIST 到 MNIST-M 实验生成 MNIST-M 数据集改编自要生成...

adversarial-robustness-toolbox：adversarial-robustness-toolbox（ART）-用于机器学习安全性的Python库-...

标签： python deep-neural-networks attack scikit-learn extraction artificial-intelligence xgboost lightgbm logistic-regression support-vector-machine decision-trees poisoning adversarial-machine-learning adversarial-examples adversarial-attacks gradient-boosted-

对抗性鲁棒性工具箱（ART）v1.5 对抗性鲁棒性工具箱（ART）是用于机器学习安全性的Python库。 ART提供的工具使开发人员和研究人员可以针对逃避，中毒，提取和推理的对抗性威胁捍卫和评估机器学习模型和应用程序。...

adversarial-attacks-pytorch:PyTorch对抗攻击的实现

标签： deep-learning pytorch adversarial-attacks Python

对抗攻击PyTorch 是一个PyTorch库，其中包含对抗性攻击以生成对抗性示例。...adversarial_images = atk ( images , labels ) :warning: 预防措施在用于攻击之前，应使用transform [to.Tensor（）]将所有图像缩放为

adversarial-master.zip_adversarial-master_对抗生成_对抗生成网络_生成对抗_生成对抗网

标签： adversarial-master 对抗生成对抗生成网络生成对抗生成对抗网络

该代码实用于生成对抗网络初学者实践，有很详细的代码介绍，干货

Adversarial-Patch-Training:论文代码

标签： python adversarial-machine-learning adversarial-training adversarial-defense adversarial-patches Python

针对位置优化的对抗补丁进行对抗训练 | | | | 论文代码： Sukrut Rao，David Stutz，Bernt Schiele。（2020）针对位置优化的对抗补丁的对抗训练。在：Bartoli A.，Fusiello A.（编辑）《计算机视觉– ECCV 2020...

Adversarial-Distributional-Training:对抗性分配培训（NeurIPS 2020）

标签： pytorch robustness adversarial-machine-learning adversarial-training adversarial-defense neurips-2020 Python

title={Adversarial Distributional Training for Robust Deep Learning}, author={Dong, Yinpeng and Deng, Zhijie and Pang, Tianyu and Su, Hang and Zhu, Jun}, booktitle={Advances in Neural Information ...

PyTorch-Adversarial-示例：对CIFAR-10和MNIST的对抗攻击

标签： pytorch mnist cifar-10 adversarial-examples adversarial-attacks fast-gradient-sign-attack JupyterNotebook

PyTorch顾问实例对CIFAR-10和MNIST的对抗攻击。这些笔记本使用生成对抗示例，以攻击PyTorch模型。将来可能会针对更多数据集提供更多方法。

Graph-Adversarial-Learning：图形数据的对抗性攻击和防御的精选集合

标签： machine-learning awesome resources survey semi-supervised-learning graph-data defense adversarial-attack graph-adversarial-learning AwesomeLists

Graph-Adversarial-Learning：图形数据的对抗性攻击和防御的精选集合

adversarial-relation-classification:关系提取的无监督域自适应方法

标签： nlp machine-learning natural-language-processing bioinformatics nlp-machine-learning relation-extraction biomedical-data-science Python

对抗性的此存储库包含用于我们的用于关系提取的无监督域自适应方法的代码。注意：数据格式的示例可以在data /文件夹中找到。用法训练python train_final_cnn.py --num_epochs 50 --checkpoint_dir /checkpoint/dir/...

natural-adv-examples:较硬的ImageNet测试仪（CVPR 2021）

标签： imagenet robustness adversarial-example adversarial-attacks domain-generalization ml-safety Python

自然对抗的例子我们介绍了-真实世界，未经修改和自然发生的示例，这些示例导致... 引文如果您发现这对您的研究有用，请考虑引用以下内容： @article{hendrycks2021nae, title={Natural Adversarial Examples}, author

targeted-adversarial-perturbations-monocular-depth:针对单眼深度预测的目标对抗性扰动的PyTorch实施（在...

标签： machine-learning computer-vision pytorch 3d-reconstruction 3d-vision adversarial-machine-learning adversarial-examples adversarial-attacks monocular-depth adversarial-perturbations monocular-depth-estimation neurips adversarial-robustness targeted-adversa

title={Targeted Adversarial Perturbations for Monocular Depth Prediction}, author={Wong, Alex and Cicek, Safa and Soatto, Stefano}, booktitle={Advances in neural information processing systems}, year...

adversarial-recommender-systems-survey:这项调查的目标是双重的

标签： security machine-learning ai deep-learning personalization generative-adversarial-network gan recsys recommender-system aml literature-review adversarial-machine-learning adversarial-attacks collabora future-visions

@article{DBLP:journals/corr/abs-2005-10322, author = {Yashar Deldjoo and Tommaso {Di Noia} and Felice Antonio Merra}, title = "A survey on Adversarial Recommender Systems: from Attack/Defense ...

Domain-Adversarial-Training-of-Neural-Networks:实施神经网络的领域高级训练

标签： JupyterNotebook

我的代码首先受到启发https://github.com/CuthbertCai/pytorch_DANN神经网络领域专家训练https://arxiv.org/pdf/1505.07818.pdfimplement Domain-Adversarial Training of Neural Networks by pytorch数据集mnist ...