Practical Data Poisoning and Backdoor Attack Detection for AI Security Specialists

Master the essential techniques for identifying, analyzing, and mitigating data poisoning and backdoor attacks to safeguard AI model integrity and ensure robust AI system security.

Fundamentals of Data Poisoning and Backdoor Attacks

Unit 1: Introduction to AI Security Threats

Unit 2: Understanding Data Poisoning

Unit 3: Exploring Backdoor Attacks

Unit 4: Real-World Implications

Practical Detection and Defense Strategies

Unit 1: Detecting Data Poisoning

Unit 2: Unmasking Backdoor Attacks

Unit 3: Building a Strong Defense