Merge pull request #40 from mik0w/develop

#29: update of RELATED.md

RELATED.md

@@ -1,20 +1,46 @@
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+# Related projects
 title: Related Projects
 layout: null
 tab: true
 order: 1
-tags: example-tag
+tags: related
 ---
+# Related projects
 
-# Related Projects
+This lists contains projects related/similar to OWASP Top10 for Machine Learning. 
 
-This lists contains projects related/similar to OWASP Top10 for Machine Learning.
+**Top 10 lists related to ML and AI:**
+Top10 lists similar to famous OWASP Top10 for Web Applications list, but for AI: 
+- [MLSecOps Top10](https://ethical.institute/security.html)
+- [OWASP Top10 for Large Language Models](https://owasp.org/www-project-top-10-for-large-language-model-applications/)
+
+**Vulnerability databases:**
+Catalogued vulnerabilities and risks that were present in real-world AI and ML systems: 
+- [AI Vulnerability Database (AVID)](https://avidml.org/)
+- [MITRE ATLAS](https://atlas.mitre.org/)
+- [AI Risk Database](https://airisk.io/)
+
+**AI/ML security guidelines:**
+Various guidelines on ML and AI Security and Safety
+- [OWASP AI Security and Privacy Guide](https://owasp.org/www-project-ai-security-and-privacy-guide/)
+- [ETSI "Securing Artificial Intelligence](https://www.etsi.org/technologies/securing-artificial-intelligence)
+- [Biden&Harris Administraton - Ensuring Safe, Secure and Trustworthy AI](https://www.whitehouse.gov/wp-content/uploads/2023/07/Ensuring-Safe-Secure-and-Trustworthy-AI.pdf)
+
+**Playbooks**
+Interactive playbooks useful in threat modelling and securing AI.
+- [NIST AI Risk Management Framework Playbook](https://pages.nist.gov/AIRMF/)
+- [Department of Energy AI Risk Management Playbook](https://www.energy.gov/ai/doe-ai-risk-management-playbook-airmp)
+
+**Other**
+All the other resources related to ML Security - threat modelling resources, risk assessments framework, "Awesome Lists" etc. 
+- [Google on Red Teaming AI](https://services.google.com/fh/files/blogs/google_ai_red_team_digital_final.pdf)
+- [Berryville ML Institute Resources for Threat Modelling ML]([https://berryvilleiml.com/interactive/)
+- [Microsoft AI Risk assessment framework](https://raw.githubusercontent.com/Azure/AI-Security-Risk-Assessment/main/AI_Risk_Assessment_v4.1.4.pdf)
+- [ETSI document on securing Artificial Intelligence](https://www.etsi.org/technologies/securing-artificial-intelligence)
+- [Trusted AI Adversarial Robustness Toolbox](https://github.com/Trusted-AI/adversarial-robustness-toolbox)
+- [ENISA - Securing Machine Learning Algorithms](https://www.enisa.europa.eu/publications/securing-machine-learning-algorithms)
+- [Awesome AI Security](https://github.com/DeepSpaceHarbor/Awesome-AI-Security)
+- [Awesome ML Security](https://github.com/trailofbits/awesome-ml-security)
+- [Awesome Attacks on ML Privacy](https://github.com/stratosphereips/awesome-ml-privacy-attacks)
 
-1. [MLSecOps Top10](https://ethical.institute/security.html)
-2. [OWASP Top10 for Large Language Models](https://owasp.org/www-project-top-10-for-large-language-model-applications/)
-3. [AI Vulnerability Database (AVID)](https://avidml.org/)
-4. [MITRE ATLAS](https://atlas.mitre.org/)
-5. [AI Risk Database](https://airisk.io/)
-6. [OWASP AI Security and Privacy Guide](https://owasp.org/www-project-ai-security-and-privacy-guide/)
-7. [ETSI "Securing Artificial Intelligence](https://www.etsi.org/technologies/securing-artificial-intelligence)
-8. [Linux Foundation AI&Data ML Security Comittee](https://lfaidata.foundation/projects/ml-security-committee/)

leaders.md

@@ -15,3 +15,4 @@
 * [Jakub Kaluzny](mailto:jakub.artur.kaluzny@gmail.com)
 * [David Ottenheimer](mailto:david@inrupt.com)
 * [Haral Tsitsivas](mailto:haral.tsitsivas@owasp.org)
+* [Mikołaj Kowalczyk](mailto:mik0w@hackstery.com)