Search Results for author:
Found 3 papers, 1 papers with code
Privacy-Preserving Record Linkage for Cardinality Counting
Several applications require counting the number of distinct items in the data, which is known as the cardinality counting problem.
Privacy-preserving Deep Learning based Record Linkage
The global model is then used by a linkage unit to distinguish unlabelled record pairs as matches and non-matches.
Data and Model Dependencies of Membership Inference Attack
Our results reveal the relationship between MIA accuracy and properties of the dataset and training model in use.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
