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‎docs/about_owasp.md‎

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---
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title: About OWASP
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comments: false
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---
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The Open Worldwide Application Security Project (OWASP) is an open community
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dedicated to enabling organizations to develop, purchase, and maintain
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applications and APIs that can be trusted.
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At OWASP, you'll find free and open:
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- Application security tools and standards.
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- Complete books on application security testing, secure code development, and
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secure code review.
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- Presentations and [videos][1].
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- [Cheat sheets][2] on many common topics.
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- Standard security controls and libraries.
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- [Local chapters worldwide][3].
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- Cutting edge research.
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- Extensive [conferences worldwide][4].
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- [Mailing lists][5] ([archive][6]).
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Learn more at: [https://www.owasp.org][7].
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All OWASP tools, documents, videos, presentations, and chapters are free and
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open to anyone interested in improving application security.
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We advocate approaching application security as a people, process, and
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technology problem, because the most effective approaches to application
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security require improvements in these areas.
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OWASP is a new kind of organization. Our freedom from commercial pressures
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allows us to provide unbiased, practical, and cost-effective information about
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application security.
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OWASP is not affiliated with any technology company, although we support the
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informed use of commercial security technology. OWASP produces many types of
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materials in a collaborative, transparent, and open way.
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The OWASP Foundation is the non-profit entity that ensures the project's
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long-term success. Almost everyone associated with OWASP is a volunteer,
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including the OWASP board, chapter leaders, project leaders, and project
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members. We support innovative security research with grants and infrastructure.
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Come join us!
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[1]: https://www.youtube.com/user/OWASPGLOBAL
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[2]: https://cheatsheetseries.owasp.org/
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[3]: https://owasp.org/chapters/
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[4]: https://owasp.org/events/
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[5]: https://groups.google.com/a/owasp.org/forum/#!overview
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[6]: https://lists.owasp.org/mailman/listinfo
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[7]: https://www.owasp.org

‎docs/acknowledgements.md‎

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---
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title: Acknowledgements
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---
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## Contributors
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Thanks goes to these wonderful people
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([emoji key](https://allcontributors.org/docs/en/emoji-key)):
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<table>
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<tbody>
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<tr>
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<td align="center" valign="top" width="11.11%"><a href="https://github.com/sagarbhure"><img src="https://avatars.githubusercontent.com/u/25385987?v=4?s=100" width="100px;" alt="Sagar Bhure"/><br /><sub><b>Sagar Bhure</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=sagarbhure" title="Code">💻</a> <a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=sagarbhure" title="Documentation">📖</a> <a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/pulls?q=is%3Apr+reviewed-by%3Asagarbhure" title="Reviewed Pull Requests">👀</a> <a href="#question-sagarbhure" title="Answering Questions">💬</a> <a href="#content-sagarbhure" title="Content">🖋</a> <a href="#research-sagarbhure" title="Research">🔬</a> <a href="#promotion-sagarbhure" title="Promotion">📣</a></td>
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<td align="center" valign="top" width="11.11%"><a href="https://shain.io/"><img src="https://avatars.githubusercontent.com/u/412800?v=4?s=100" width="100px;" alt="Shain Singh"/><br /><sub><b>Shain Singh</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=shsingh" title="Code">💻</a> <a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=shsingh" title="Documentation">📖</a> <a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/pulls?q=is%3Apr+reviewed-by%3Ashsingh" title="Reviewed Pull Requests">👀</a> <a href="#question-shsingh" title="Answering Questions">💬</a> <a href="#content-shsingh" title="Content">🖋</a> <a href="#promotion-shsingh" title="Promotion">📣</a> <a href="#projectManagement-shsingh" title="Project Management">📆</a></td>
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<td align="center" valign="top" width="11.11%"><a href="https://github.com/robvanderveer"><img src="https://avatars.githubusercontent.com/u/796794?v=4?s=100" width="100px;" alt="Rob van der Veer"/><br /><sub><b>Rob van der Veer</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/pulls?q=is%3Apr+reviewed-by%3Arobvanderveer" title="Reviewed Pull Requests">👀</a> <a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=robvanderveer" title="Code">💻</a> <a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=robvanderveer" title="Documentation">📖</a> <a href="#question-robvanderveer" title="Answering Questions">💬</a> <a href="#promotion-robvanderveer" title="Promotion">📣</a></td>
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</tr>
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<tr class="blank_row">
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<td colspan="5"></td>
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</tr>
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<td colspan="5"></td>
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</tr>
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</tr>
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<td colspan="5"></td>
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</tr>
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<td colspan="5"></td>
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</tr>
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<tr>
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<td align="center" valign="top" width="11.11%"><a href="https://github.com/msnishanth9001"><img src="https://avatars.githubusercontent.com/u/49409979?v=4?s=100" width="100px;" alt="M S Nishanth"/><br /><sub><b>M S Nishanth</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=msnishanth9001" title="Code">💻</a> <a href="#question-msnishanth9001" title="Answering Questions">💬</a></td>
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<td align="center" valign="top" width="11.11%"><a href="https://github.com/kingthorin"><img src="https://avatars.githubusercontent.com/u/7570458?v=4?s=100" width="100px;" alt="Rick M"/><br /><sub><b>Rick M</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=kingthorin" title="Code">💻</a></td>
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<td align="center" valign="top" width="11.11%"><a href="https://owasp.org/"><img src="https://avatars.githubusercontent.com/u/36673698?v=4?s=100" width="100px;" alt="Harold Blankenship"/><br /><sub><b>Harold Blankenship</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=hblankenship" title="Code">💻</a></td>
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<tr class="blank_row">
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<td colspan="5"></td>
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</tr>
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<td colspan="5"></td>
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</tr>
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<td align="center" valign="top" width="11.11%"><a href="https://github.com/RiccardoBiosas"><img src="https://avatars.githubusercontent.com/u/65150720?v=4?s=100" width="100px;" alt="RiccardoBiosas"/><br /><sub><b>RiccardoBiosas</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=RiccardoBiosas" title="Code">💻</a></td>
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<td align="center" valign="top" width="11.11%"><a href="https://github.com/aryanxk02"><img src="https://avatars.githubusercontent.com/u/59761275?v=4?s=100" width="100px;" alt="Aryan Kenchappagol"/><br /><sub><b>Aryan Kenchappagol</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=aryanxk02" title="Documentation">📖</a></td>
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<td align="center" valign="top" width="11.11%"><a href="https://github.com/mik0w"><img src="https://avatars.githubusercontent.com/u/64902909?v=4?s=100" width="100px;" alt="Mikołaj Kowalczyk"/><br /><sub><b>Mikołaj Kowalczyk</b></sub></a><br /><a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=mik0w" title="Code">💻</a> <a href="https://github.com/OWASP/www-project-machine-learning-security-top-10/commits?author=mik0w" title="Documentation">📖</a> <a href="#question-mik0w" title="Answering Questions">💬</a> <a href="#promotion-mik0w" title="Promotion">📣</a></td>
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</tr>>
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</tbody>
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</table>
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### How to contribute
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This project follows the
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[all-contributors](https://github.com/all-contributors/all-contributors)
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specification. Contributions of any kind welcome!

‎docs/glossary.md‎

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---
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title: Glossary
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comments: false
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---
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[0](#zero) [1](#one) [2](#two) [3](#three) [4](#four) [5](#five) [6](#six)
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[7](#seven) [8](#eight) [9](#nine) [A](#a) [B](#b) [C](#c) [D](#d) [E](#e)
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[F](#f) [G](#g) [H](#h) [I](#i) [J](#j) [K](#k) [L](#l) [M](#m) [N](#n) [O](#o)
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[P](#p) [Q](#q) [R](#r) [S](#s) [T](#t) [U](#u) [V](#v) [W](#w) [X](#x) [Y](#y)
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[Z](#z)
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---
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## 0 {#zero}
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[]()
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## 1 {#one}
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## 2 {#two}
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## 3 {#three}
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## 4 {#four}
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## 5 {#five}
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## 6 {#six}
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## 7 {#seven}
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## 8 {#eight}
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## 9 {#nine}
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## A {#a}
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## B {#b}
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## C {#c}
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## D {#d}
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## E {#e}
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## F {#f}
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## G {#g}
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## H {#h}
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## I {#i}
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## J {#j}
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## K {#k}
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## L {#l}
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## M {#m}
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## N {#n}
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## O {#o}
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## P {#p}
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## Q {#q}
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## R {#r}
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## S {#s}
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## T {#t}
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## U {#u}
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## V {#v}
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## W {#w}
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## X {#x}
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## Y {#y}
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## Z {#z}
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‎docs/index.md‎

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# Introduction
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## Project Communication
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- [OWASP Slack](https://owasp.org/slack/invite) #project-mlsec-top-10
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- [Github Discussions](https://github.com/OWASP/www-project-machine-learning-security-top-10/discussions)
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- [Meeting Notes](https://github.com/OWASP/www-project-machine-learning-security-top-10/issues?q=label%3Ameeting)
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## Top 10 Machine Learning Security Risks
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- [**ML01:2023 Adversarial Attack**](2023/ML01_2023-Adversarial_Attack.md)
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- [**ML02:2023 Data Poisoning Attack**](ML02_2023-Data_Poisoning_Attack.md)
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- [**ML03:2023 Model Inversion Attack**](ML03_2023-Model_Inversion_Attack.md)
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- [**ML04:2023 Membership Inference Attack**](ML04_2023-Membership_Inference_Attack.md)
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- [**ML05:2023 Model Stealing**](ML05_2023-Model_Stealing.md)
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- [**ML06:2023 Corrupted Packages**](ML06_2023-Corrupted_Packages.md)
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- [**ML07:2023 Transfer Learning Attack**](ML07_2023-Transfer_Learning_Attack.md)
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- [**ML08:2023 Model Skewing**](ML08_2023-Model_Skewing.md)
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- [**ML09:2023 Output Integrity Attack**](ML09_2023-Output_Integrity_Attack.md)
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- [**ML10:2023 Neural Net Reprogramming**](ML10_2023-Neural_Net_Reprogramming.md)
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---
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title: Introduction
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---
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::: {.callout-important}
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### Important
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_The current version of this work is in draft and is being modified frequently.
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Please refer to the [project wiki](https://github.com/OWASP/www-project-machine-learning-security-top-10/wiki)
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for information on how to contribute and project release timelines._
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:::
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## Overview
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The primary aim of of the OWASP Machine Learning Security Top 10 project is to
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deliver an overview of the top 10 security issues of machine learning systems.
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As such, a major goal of this project is to develop a high quality deliverable,
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reviewed by industry peers.
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## Target Audience
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The primary audience for the deliverables in this project are developers,
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machine learning engineering and operational practitioners, and application
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security experts. While each of these roles build, operate and secure machine
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learning systems, the content is not aimed to be exclusively at them. The
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content will aim to specify where appropriate the level of understanding
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required for specific technology domains.
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## Scope
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This project will provide an overview of the top 10 security issues of machine
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learning systems. Due to the rapid adoption of machine learning systems, there
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are related projects within OWASP and other organisations, that may have
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narrower or broader scope than this project. As an example, while adversarial
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attacks is a category of threats, this project will also cover non-adversarial
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scenarios, such as security hygiene of machine learning operational and
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engineering workflows.

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