Data-Centric Challenges, Techniques, and Impacts: A Survey on Image Data Perturbation
Data-driven deep learning models have revolutionized the ability to understand and model intrinsic data patterns. However, in real-world applications, their reliability is often compromised by inherent randomness, uncertainty, and potential adversarial threats, particularly those originating from data. As a critical co...