neural-network-hacking - Hacking the Singularity. Deep learning hacking. We

项目说明

Hacking Neural Networks: A Short Introduction

<span style="color:red">Disclaimer: This article and all the associated exercises are for educational purposes only.</span>

This repository provides a comprehensi to offensi using neural networks. The methods covered include bug hunting, shellcode obfuscation, information extraction, malware injection, backdooring, and more.

Each method is accompanied by an exercise, allowing you to practice and understand the concepts hands-on. You can find the detailed article here in 'Article.pdf' or on arXiv (arXiv:1911.07658).

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Setup

Python and pip

Download and install Python3 and its package installer pip using a package manager or directly from the official website.

Editor

An editor is required to work with the code, preferably one that supports Python syntax highlighting. Some recommended editors are:

Packages

To run the exercises, you will need to install several Python packages:

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The exercises

This repository includes a of exercises, each focusing on a different aspect of neural network attacks:

For detailed instructions, please read the README.md file in each exercise directory.

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Further Reading / Watching

For more information on security and machine learning, check out the following resources:

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Contributing

Contributions are welcome! If you find errors or missing references, feel free to make a PR or contact me.

How to Contribute

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Create a new Pull Request.

Please ensure that your contributions align with the repository's purpose and follow the established coding standards
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What else?

The neural networks found in the exercises are based on the examples provided by keras.

If you find that there are errors or missing references, feel free to make a PR or contact me.

项目信息

开发语言：Python

Star 数：131

技术要点

该项目属于安全软件方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Hacking the Singularity. Deep learning hacking. Weaponizing AI in Offensive security展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。