Machine learning security (Python)

Python developers working on machine learning systems

Kursziel

• Getting familiar with essential cyber security concepts
• Learning about various aspects of machine learning security
• Attacks and defense techniques in adversarial machine learning
• Input validation approaches and principles
• Identify vulnerabilities and their consequences
• Learn the security best practices in Python
• Managing vulnerabilities in third party components
• Understanding how cryptography supports security
• Learning how to use cryptographic APIs correctly in Python

Kursinhalt

• Cyber security basics
• Machine learning security
• Input validation
• Security features
• Time and state
• Errors
• Using vulnerable components
• Cryptography for developers
• Wrap up