Privacy-Preserving Technologies in Data
Privacy-Preserving Technologies in Data is a topic indexed in ScholarIQ from OpenAlex.
What is known about Privacy-Preserving Technologies in Data?
This cluster of papers focuses on privacy-preserving techniques for data analysis and machine learning, including topics such as differential privacy, federated learning, k-anonymity, secure computation, and location privacy. The papers explore methods to protect sensitive information while performing data mining, machine learning, and statistical analysis.
How many works does Privacy-Preserving Technologies in Data have?
Privacy-Preserving Technologies in Data has 85,844 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Privacy-Preserving Technologies in Data have?
Privacy-Preserving Technologies in Data has 1,057,290 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Privacy-Preserving Technologies in Data?
The OpenAlex for Privacy-Preserving Technologies in Data is on the source record.