Non-Adversarial Robustness

Non-Adversarial Robustness refers to the capability of a model to maintain stability and accuracy when facing non-adversarial perturbations in time series data processing. The goal is to enhance the model's robustness against naturally occurring noise and variations in the input data, ensuring the reliability of prediction results. This characteristic is of significant application value in fields such as financial analysis and medical monitoring, effectively improving the overall performance and credibility of the system.