Machine_learning_security
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cs Video Courses | 62,887 | 3 months ago | ||||||||
| List of Computer Science courses with video lectures. | ||||||||||
| Nmap | 8,812 | 3 months ago | 805 | other | C | |||||
| Nmap - the Network Mapper. Github mirror of official SVN repository. | ||||||||||
| Awesome Ml For Cybersecurity | 6,564 | 3 months ago | 11 | other | ||||||
| :octocat: Machine Learning for Cyber Security | ||||||||||
| Cleverhans | 6,068 |  | 8 | 4 | a month ago | 6 | July 24, 2021 | 39 | mit | Jupyter Notebook |
| An adversarial example library for constructing attacks, building defenses, and benchmarking both | ||||||||||
| Textattack | 2,597 |  | 5 | 4 months ago | 46 | September 11, 2023 | 52 | mit | Python | |
| TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/ | ||||||||||
| Machine_learning_security | 1,714 | 2 years ago | 43 | Python | ||||||
| Source code about machine learning and security. | ||||||||||
| Ai For Security Learning | 1,571 | 3 years ago | ||||||||
| 安全场景、基于AI的安全算法和安全数据分析业界实践 | ||||||||||
| Awesome Federated Machine Learning | 1,425 | 3 months ago | 4 | |||||||
| Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond | ||||||||||
| Advbox | 1,344 | a year ago | 2 | December 05, 2018 | 16 | apache-2.0 | Jupyter Notebook | |||
| Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding. | ||||||||||
| Dataprofiler | 1,310 |  | 3 | 3 months ago | 53 | November 14, 2023 | 56 | apache-2.0 | Python | |
| What's in your data? Extract schema, statistics and entities from datasets | ||||||||||
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