YoVDO

Secure AI: Integrating OWASP Principles in Machine Learning Model Development

Offered By: NDC Conferences via YouTube

Tags

Machine Learning Security Courses Artificial Intelligence Courses Cybersecurity Courses Web Application Security Courses Data Privacy Courses Model Development Courses Threat Mitigation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Introduction to Data Analytics for Business
University of Colorado Boulder via Coursera
Digital and the Everyday: from codes to cloud
NPTEL via Swayam
Systems and Application Security
(ISC)² via Coursera
Protecting Health Data in the Modern Age: Getting to Grips with the GDPR
University of Groningen via FutureLearn
Teaching Impacts of Technology: Data Collection, Use, and Privacy
University of California, San Diego via Coursera