Privacy-preserving techniques is an interdisciplinary research field and methodological approach focused on developing methods to analyze or process data while rigorously protecting the privacy of individuals or entities represented therein. This domain investigates challenges associated with sensitive data disclosure, re-identification risks, and inferences, employing cryptographic protocols, data perturbation, anonymization, and computational frameworks to provide formal privacy guarantees, thereby enabling responsible data utilization and research in privacy-sensitive contexts.