Toward Unified Interpretability and Robustness in Machine Learning–Based Anomaly Detection Across Industrial, Network, Financial, and Cyber-Physical Domains. European Journal of Emerging Cybersecurity and Information Protection, [S. l.], v. 3, n. 01, p. 1–5, 2026. Disponível em: https://parthenonfrontiers.com/index.php/ejecip/article/view/302. Acesso em: 1 mar. 2026.