# Homomorphic Encryption Homomorphic encryption is an advanced cryptographic technique that allows computations to be performed on encrypted data without requiring access to the original, unencrypted information. This method preserves the confidentiality of data by enabling the manipulation of encrypted datasets, producing encrypted results that can later be decrypted by authorized parties. It is particularly useful in scenarios where data privacy is paramount, such as in cloud computing and secure data sharing. Homomorphic encryption facilitates secure data processing and analysis, ensuring that privacy is maintained while allowing valuable insights to be derived from sensitive information. For more information about recent homomorphic encryption research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Homomorphic+Encryption) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Homomorphic+Encryption) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Homomorphic+Encryption) Our research team, partners, and the extended Network of the Datasphere have identified the following organizations working at the intersection of data or data governance and homomorphic encryption. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.