This AI Paper Introduces a New Attack on Machine Learning Where an Adversary Poisons a Training Set to Harm the Privacy of Other Users’ Data
Machine learning models are used in various applications such as image and speech recognition, natural language processing, and predictive modeling. However, the security and privacy of training data is a critical concern, as an adversary who manipulates the training dataset can cause the model to leak sensitive information about the training points. Adversaries can exploit…