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The current version of this work is in draft and is being modified frequently. Please refer to the project wiki for information on how to contribute and project release timelines.
Welcome to the repository for the OWASP Machine Learning Security Top 10 project! The primary aim of the OWASP Machine Learning Security Top 10 project is to deliver an overview of the top 10 security issues of machine learning systems. More information on the project scope and target audience is available in our project working group charter
- ML01:2023 Input Manipulation Attack
- ML02:2023 Data Poisoning Attack
- ML03:2023 Model Inversion Attack
- ML04:2023 Membership Inference Attack
- ML05:2023 Model Theft
- ML06:2023 AI Supply Chain Attacks
- ML07:2023 Transfer Learning Attack
- ML08:2023 Model Skewing
- ML09:2023 Output Integrity Attack
- ML10:2023 Model Poisoning
- Google Groups
- OWASP Slack #project-mlsec-top-10
- Github Discussions
- Meeting Notes
The initial version of the Machine Learning Security Top 10 list was contributed by Sagar Bhure and Shain Singh. The project encourages community contribution and aims to produce a high quality deliverable reviewed by industry peers.
All contributors will need to adhere to the project's code of conduct. Please use the following form for any feedback, suggestions, issues or questions.
The project has a wiki which provides information to get help you started on how to contribute.
The OWASP Machine Learning Security Project is licensed under the Creative Commons Attribution-ShareAlike 4.0 license so you can copy, distribute and transmit the work, and you can adapt it, and use it commercially, but all provided that you attribute the work and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same or similar license to this one.