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==Contributors==
 
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The success of OWASP is due to a community of enthusiasts and contributors that work to make our projects great. This is also true for the success of your project.
 
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Be sure to give credit where credit is due, no matter how small! This should be a brief list of the most amazing people involved in your project.
 
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The success of OWASP is due to a community of enthusiasts and contributors that work to make our projects great. The first contributors to the project were:  
 
The success of OWASP is due to a community of enthusiasts and contributors that work to make our projects great. The first contributors to the project were:  
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= Road Map and Getting Involved =
 
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A project roadmap is the envisioned plan for the project. The purpose of the roadmap is to help others understand where the project is going. It gives the community a chance to understand the context and the vision for the goal of the project. Additionally, if a project becomes inactive, or if the project is abandoned, a roadmap can help ensure a project can be adopted and continued under new leadership.
 
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Roadmaps vary in detail from a broad outline to a fully detailed project charter. Generally speaking, projects with detailed roadmaps have tended to develop into successful projects. Some details that leaders may consider placing in the roadmap include: envisioned milestones, planned feature enhancements, essential conditions, project assumptions, development timelines, etc. You are required to have at least 4 milestones for every year the project is active.
 
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We will have ANNUAL release of the up-to-date top 5 risks, organized as following:
 
We will have ANNUAL release of the up-to-date top 5 risks, organized as following:
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* Validate in AppSec conference
 
* Validate in AppSec conference
 
* Release final list for the year.
 
* Release final list for the year.
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Involvement in the development and promotion of the OWASP Security Principles Project is actively encouraged!
 
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=Project About=
 
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This page is where you need to place your legacy project template page if your project was created before October 2013. To edit this page you will need to edit your project information template. You can typically find this page by following this address and substituting your project name where it says "OWASP_Example_Project". When in doubt, ask the OWASP Projects Manager.
 
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As of September 2017, the topics priorities are:
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** Machine Learning Introduction
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*** What are the available machine learning platforms?
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*** Are there any security vulnerabilities associated with these platforms?
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** Usage of Machine Learning in Security
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*** Can AI be used to reduce false positive findings in security scanners?
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*** Fraud Detection...
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** Security  of Machine learning
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*** ML Learning phase
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*** How to securely feed data to ML and AI tools
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*** How to make learning algorithms aware of malicious data?
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** Top 5 risks
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** Defending techniques
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** References and Additional Resources
 
__NOTOC__ <headertabs></headertabs>  
 
__NOTOC__ <headertabs></headertabs>  
  

Revision as of 03:25, 3 September 2017

OWASP Project Header.jpg

The OWASP Top 5 Machine Learning Risks

The idea is to build the required resources which help software security community to understand the emerging technology of machine learning and how it is related to security, warn them about the risk associated with using ML, and discuss the defending techniques.

Description

Machine Learning has recently re-emerged as a powerful tool in multiple business sectors, especially when it is used for Predictive Analytics at the scale of Big Data. This technique becomes vital when it is harnessed for the Security services and applications like Fraud Detection, Anomaly Detection, Behavioral Analysis, etc.

Although these applications have huge success, there are security risks associated with the learning technique especially the security of the learning phase; which can still be vulnerable to threats originated by potential adversaries, and consequently it has considerable impact on their prediction results

This project will list these risks and the defending techniques

Licensing

The OWASP Top 5 Machine Learning Risks project is licensed under the http://creativecommons.org/licenses/by-sa/3.0/ Creative Commons Attribution-ShareAlike 3.0 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.

.

Presentation

TBD

Project Leader

  • Talal Albacha: I have long experience in the application security field and I have strong academic background in machine learning.
  • User:Talal Albacha


Related Projects

Openhub

Quick Download

TBD

News and Events

In Print

This project can be purchased as a print on demand book from Lulu.com

Classifications

New projects.png Owasp-builders-small.png
Owasp-defenders-small.png
Cc-button-y-sa-small.png
Project Type Files DOC.jpg

How can I participate in your project?

All you have to do is make the Project Leader's aware of your available time to contribute to the project. It is also important to let the Leader's know how you would like to contribute and pitch in to help the project meet it's goals and milestones. There are many different ways you can contribute to an OWASP Project, but communication with the leads is key.

If I am not a programmer can I participate in your project?

Yes, you can certainly participate in the project if you are not a programmer or technical. The project needs different skills and expertise and different times during its development. Currently, we are looking for researchers, writers, graphic designers, and a project administrator.

Contributors

The success of OWASP is due to a community of enthusiasts and contributors that work to make our projects great. The first contributors to the project were:

We will have ANNUAL release of the up-to-date top 5 risks, organized as following:

  • Draft version
  • Community responses
  • Validate in AppSec conference
  • Release final list for the year.

As of September 2017, the topics priorities are:

    • Machine Learning Introduction
      • What are the available machine learning platforms?
      • Are there any security vulnerabilities associated with these platforms?
    • Usage of Machine Learning in Security
      • Can AI be used to reduce false positive findings in security scanners?
      • Fraud Detection...
    • Security  of Machine learning
      • ML Learning phase
      • How to securely feed data to ML and AI tools
      • How to make learning algorithms aware of malicious data?
    • Top 5 risks
    • Defending techniques
    • References and Additional Resources
Retrieved from "https://wiki.owasp.org/index.php?title=OWASP_Top_5_Machine_Learning_Risks&oldid=232828"