Introduction to Clouditera.github.io Project
Overview of GPTSecurity
Welcome to the realm of GPTSecurity, a community dedicated to pioneering the intelligent revolution in the security domain. This project acts as a comprehensive knowledge repository focused on the integration of cutting-edge technologies like Generative Pre-trained Transformer (GPT), Artificial Intelligence Generated Content (AIGC), and Large Language Models (LLM) within the security field.
GPTSecurity serves as a collaborative platform where both academic research and practical experiences are shared. Users can explore the latest research papers, insightful blog articles, practical tools, and pre-set prompts related to GPT, AIGC, and LLM applications in security. The community goes beyond current trends, aiming to actively shape and drive the advancement of intelligent technologies in security.
The goal of GPTSecurity is to provide a convenient platform for security professionals, researchers, and developers to exchange ideas, share experiences, and explore new possibilities. Embracing the wave of artificial intelligence and machine learning, this project seeks to better apply these new technologies within the security sector.
Contribution Guidelines
The GPTSecurity project thrives on the contributions of its vibrant community. Contributors can enhance the knowledge base by submitting various types of content. Below are the guidelines to follow for contributions:
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Selecting the Right Category
Before contributing, ensure that your content aligns with one of the categories:
- Research Papers: Compilation and analysis of the latest research papers pertaining to GPT, AIGC, and LLM in security, including areas like software supply chain security and threat detection.
- Blog Articles: Expert and researcher-shared practical insights on using GPT, AIGC, and LLM in security. This includes case studies, technology assessments, and application forecasts.
- Practical Tools: Offers open-source tools, plugins, libraries, and resources aimed at enabling developers and researchers to practically apply GPT, AIGC, and LLM in security.
- Pre-set Prompts: Collection and sharing of pre-set instructions for more effective training, inference, and testing of GPT, AIGC, and LLM in security applications.
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Maintaining Content Quality
High-quality submissions are crucial for the growth of the community. Ensure your contributions have the following attributes:
- Accuracy: Ensure information and data are accurate and adhere to best practices and industry standards.
- Readability: Content should be clear, easy to understand, and logically structured, avoiding overly complex terminology and abbreviations.
- Originality: Submitted content must be original and not published elsewhere. When referencing others' ideas or research, proper citations are necessary.
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Contribution Submission Process
GPTSecurity encourages different methods of content submission to cater to various skills and needs:
- GitHub Issues: Contributors can use GitHub New Issues to propose contributions. Mention "GPTSecurity Contribution" and category (like "Paper," "Article," "Tool," or "Prompt") in the title. Provide author information, source, article introduction, and its value to GPTSecurity in the comments. Upon submission, feedback will be provided promptly.
- GitHub Pull Requests (PRs): Contributors can start a merge request via GitHub PRs, detailing the changes. Feedback will be provided accordingly.
- GitBook Submission: Core contributors may be invited to join the GitBook repository for direct contributions. Initial contributions via GitHub are required to receive an invitation.
Acknowledgments
The project expresses gratitude to Clouditera.com for initiating and managing the project. The dedication and support of every person involved have helped make GPTSecurity a thriving knowledge repository. Thanks to these contributions, the project continues to drive the intelligent revolution in the security domain.
Community Engagement
To facilitate communication and collaboration, a WeChat group for GPTSecurity is available. Participants eager to explore GPT, AIGC, and LLM applications in security are encouraged to join the group by contacting "GPTSecurity" and befriending the admin.
By participating in GPTSecurity, contributors not only help push the boundaries of intelligent security applications but also become part of a lively community focused on innovation and collaboration in the security field.