Ensuring Robustness in Machine Learning Models: Challenges and Strategies

Machine learning models must be robust to maintain stable and reliable performance across a broad spectrum of input variations and changes, which is crucial for trustworthy AI systems. This chapter explores the definition, measurement, and indicators of ML robustness, as well as the key challenges and techniques for robustness assessment and amelioration.