Model Inversion Attacks: A Survey of Approaches and Countermeasures
The episode discusses a survey paper titled "Model Inversion Attacks: A Survey of Approaches and Countermeasures." The hosts examine how AI models can be reverse-engineered to leak private data, covering attacks on images, text, and graphs. They also detail various defensive strategies like differential privacy and evaluation metrics used to measure the effectiveness of these ongoing security measures.