Learn to protect and attack AI systems in the "Defending and Attacking AI and ML Implementations Workshop." Gain hands-on experience in securing AI and machine learning technologies.
Learning Objectives
- Understand vulnerabilities in AI and ML systems.
- Explore techniques for securing AI and ML implementations.
- Learn methods for adversarial attacks on AI systems.
- Develop strategies for building resilient AI models.
- Examine case studies of successful AI and ML defense practices.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Work Roles
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.