Secure computation is a field of research in the field of computer science that focuses on developing algorithms and protocols that allow multiple parties to jointly compute a function over their private inputs without revealing any sensitive information to each other. The goal of secure computation is to enable collaboration and data sharing between parties while protecting the privacy and confidentiality of their inputs. This field is particularly important in applications where sensitive data needs to be processed and analyzed in a secure and confidential manner, such as healthcare, finance, and secure voting systems. Techniques used in secure computation include cryptographic protocols, homomorphic encryption, secure multi-party computation, and differential privacy.