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This is (by far) the best collection of colab notebooks I have found. A bit overwhelming and I wish I had time to go through most of them… Tons of links to papers, videos, etc.: https://github.com/amrzv/awesome-colab-notebooks
## AI Security Best Practices and Tools
- [High-Level AI Security Best Practices](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/AI%20Security%20Best%20Practices/AI-security-tools-and-frameworks.md)
- [Homomorphic-Encryption](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/AI%20Security%20Best%20Practices/homomorphic-encryption.md)
- [AI Security Tools and Frameworks](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/AI%20Security%20Best%20Practices/AI-security-tools-and-frameworks.md)
- [AI Secure Deployment Tips](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/AI%20Security%20Best%20Practices/secure-deployment.md)
- [AI Secure Design Tips](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/AI%20Security%20Best%20Practices/secure-design.md)
- [Threat Modeling](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/AI%20Security%20Best%20Practices/threat-modeling.md)
- [AI Security Tools](https://github.com/The-Art-of-Hacking/h4cker/blob/master/ai_research/ai_security_tools.md)
- [OWASP AI Security Testing Guidance](https://owaspai.org/docs/5_testing/)
- [AI Security Tools and Frameworks](https://github.com/The-Art-of-Hacking/h4cker/blob/master/ai_research/ai_security_tools.md)
- [Cisco AI Security Website](https://aisecurity.cisco.com/)
- [Securing AI Training and Fine-Tuning Environments](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/training_environment_security)
- [Prompt Injection](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/prompt_injection)
## AI Security Resources from Omar's Training Sessions
- [Cybersecurity Learning Prompts](https://github.com/santosomar/chatgpt-cybersecurity-prompts)
- [Networking Prompts](https://github.com/santosomar/chatgpt-networking-prompts)
- [Programming Learning Prompts](https://github.com/santosomar/chatgpt-programming-prompts)
This section provides a curated list of resources that delve into foundational cybersecurity concepts, frequently explored in my O'Reilly training sessions and other educational offerings.
## AI Ethics and Privacy Resources
- [AI Ethics and Privacy Resources](https://github.com/The-Art-of-Hacking/h4cker/tree/master/ai_research/ethics_privacy)
### Live Training
**Upcoming Live Cybersecurity and AI Training in O'Reilly:** [Register before it is too late](https://learning.oreilly.com/search/?q=omar%20santos&type=live-course&rows=100&language_with_transcripts=en) (free with O'Reilly Subscription)
### Reading List
Despite the rapidly evolving landscape of AI and technology, these books offer a comprehensive roadmap for understanding the intersection of these technologies with cybersecurity:
- **Redefining Hacking**
A Comprehensive Guide to Red Teaming and Bug Bounty Hunting in an AI-driven World [Available on O'Reilly](https://learning.oreilly.com/library/view/redefining-hacking-a/9780138363635/)
- **Developing Cybersecurity Programs and Policies in an AI-Driven World**
Explore strategies for creating robust cybersecurity frameworks in an AI-centric environment. [Available on O'Reilly](https://learning.oreilly.com/library/view/developing-cybersecurity-programs/9780138073992)
- **Beyond the Algorithm: AI, Security, Privacy, and Ethics**
Gain insights into the ethical and security challenges posed by AI technologies. [Available on O'Reilly](https://learning.oreilly.com/library/view/beyond-the-algorithm/9780138268442)
- **The AI Revolution in Networking, Cybersecurity, and Emerging Technologies** Understand how AI is transforming networking and cybersecurity landscapes.
[Available on O'Reilly](https://learning.oreilly.com/library/view/the-ai-revolution/9780138293703)
### Video Courses
Enhance your practical skills with these video courses designed to deepen your understanding of cybersecurity:
- **Building the Ultimate Cybersecurity Lab and Cyber Range (video)** [Available on O'Reilly](https://learning.oreilly.com/course/building-the-ultimate/9780138319090/)
---
- **AI-Enabled Programming, Networking, and Cybersecurity**
Learn to use AI for cybersecurity, networking, and programming tasks.
Use examples of practical, hands-on activities and demos that emphasize real-world tasks.
Implement AI tools as a programmer, developer, networking, or security professional.
[Available on O'Reilly](https://learning.oreilly.com/course/ai-enabled-programming-networking/9780135402696/)
---
- **Securing Generative AI**
Explore security for deploying and developing AI applications, RAG, agents, and other AI implementations
Learn hands-on with practical skills of real-life AI and machine learning cases
Incorporate security at every stage of AI development, deployment, and operation
[Available on O'Reilly](https://learning.oreilly.com/course/securing-generative-ai/9780135401804/)
---
- **Practical Cybersecurity Fundamentals**
A comprehensive video course covering essential cybersecurity principles. [Available on O'Reilly](https://learning.oreilly.com/course/practical-cybersecurity-fundamentals/9780138037550/)
---
- **The Art of Hacking**
A series of video courses offering over 26 hours of training in ethical hacking and penetration testing techniques. Ideal for those preparing for certifications like OSCP or CEH.
[Visit The Art of Hacking](https://theartofhacking.org)
---
## AWESOME Lists
- [Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM) - a huge collection of resources related to Gen AI and LLMs
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- [awesome-chatgpt-prompts-zh](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) - A Chinese collection of prompt examples to be used with the ChatGPT model.
- [Awesome ChatGPT](https://github.com/humanloop/awesome-chatgpt) - Curated list of resources for ChatGPT and GPT-3 from OpenAI.
- [Chain-of-Thoughts Papers](https://github.com/Timothyxxx/Chain-of-ThoughtsPapers) - A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models.
- [Instruction-Tuning-Papers](https://github.com/SinclairCoder/Instruction-Tuning-Papers) - A trend starts from `Natrural-Instruction` (ACL 2022), `FLAN` (ICLR 2022) and `T0` (ICLR 2022).
- [LLM Reading List](https://github.com/crazyofapple/Reading_groups/) - A paper & resource list of large language models.
- [Reasoning using Language Models](https://github.com/atfortes/LM-Reasoning-Papers) - Collection of papers and resources on Reasoning using Language Models.
- [Chain-of-Thought Hub](https://github.com/FranxYao/chain-of-thought-hub) - Measuring LLMs' Reasoning Performance