AI Security Fundamentals

Equip yourself with the essential knowledge and practical skills to defend AI systems against emerging threats and ensure their responsible and secure deployment.

Introduction to AI Security

Unit 1: Understanding the Landscape of AI Security

Unit 2: Common AI Security Threats

Adversarial Machine Learning

Unit 1: Introduction to Adversarial Attacks

Unit 2: Evasion Attacks

Unit 3: Poisoning Attacks

Unit 4: Defense Mechanisms

Data Security and Privacy in AI

Unit 1: Introduction to Data Security and Privacy in AI

Unit 2: Data Anonymization Techniques

Unit 3: Advanced Privacy Techniques

Model Security and Integrity

Unit 1: Introduction to Model Security

Unit 2: Model Integrity Checks

Unit 3: Protecting Model Confidentiality

AI Security in Practice

Unit 1: Analyzing AI Security Incidents

Unit 2: Ethical Considerations in AI Security

Unit 3: AI Security Standards and Regulations

Unit 4: AI Security Risk Assessment

Advanced Topics and Future Trends in AI Security

Unit 1: Evolving AI Threat Landscape

Unit 2: Secure AI System Architecture

Unit 3: AI Security Monitoring and Incident Response