Abstract: A plurality of pieces of to-be-processed data are obtained, and a plurality of groups corresponding to the plurality of pieces of to-be-processed data are further obtained. Watermarks are added to to-be-processed data in the target group by using the target group as a granularity. Because watermarks are added to the plurality of pieces of to-be-processed data by using the group as the granularity, although the to-be-processed data in the group is modified due to watermark adding, the to-be-processed data changes within a range of a small amount of to-be-processed data included in the target group, and does not change within a range of the to-be-processed data, thereby alleviating a problem that the data is severely distorted after watermark adding. When to-be-processed data with similar semantics is placed in a same group, semantics of the to-be-processed data in the target group has a relatively small change after watermark adding.

Abstract: A data masking method includes: displaying one or more groups of relational data, where the relational data includes a data subject, privacy data, and a relationship that the data subject and the privacy data meet; obtaining selection of a user for target relational data in the one or more groups of relational data; and performing masking processing on the target relational data in a data source.