Security and Privacy‐Preserving Tiny Machine Learning
This work examines the privacy and security issues with tiny machine learning (TinyML) and proposes potential solutions to improve dependability and trust in practical applications. A thorough analysis of current security risks is conducted, including data leakage, model extraction, and adversarial assaults. Furthermor...