Secure AI: Integrating OWASP Principles in Machine Learning Model Development
Offered By: NDC Conferences via YouTube
Course Description
Overview
Explore the critical intersection of cybersecurity and artificial intelligence in this conference talk from NDC Sydney. Delve into the integration of Open Web Application Security Project (OWASP) principles into machine learning model development processes. Learn practical approaches to incorporate OWASP guidelines and best practices for safeguarding machine learning models from potential threats, ensuring robustness, integrity, and confidentiality. Address vulnerabilities and ensure data privacy as AI technologies become more prevalent. Gain insights on how to enhance the security of AI systems by applying established web application security principles to the field of machine learning.
Syllabus
Secure AI: Integrating OWASP Principles in Machine Learning Model Development- Haritha Thilakarathne
Taught by
NDC Conferences
Related Courses
Data Science in Action - Building a Predictive Churn ModelSAP Learning Applied Data Science Capstone
IBM via Coursera Data Modeling and Regression Analysis in Business
University of Illinois at Urbana-Champaign via Coursera Introduction to Predictive Analytics using Python
University of Edinburgh via edX Machine Learning con Python. Nivel intermedio
Coursera Project Network via Coursera