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Found 7 papers, 5 papers with code
SoK: Privacy-Preserving Data Synthesis
As the prevalence of data analysis grows, safeguarding data privacy has become a paramount concern.
Kamino: Constraint-Aware Differentially Private Data Synthesis
Existing differentially private data synthesis methods aim to generate useful data based on applications, but they fail in keeping one of the most fundamental data properties of the structured data -- the underlying correlations and dependencies among tuples and attributes (i. e., the structure of the data).
Databases Cryptography and Security
Ruler: Data Programming by Demonstration for Document Labeling
Data programming aims to reduce the cost of curating training data by encoding domain knowledge as labeling functions over source data.
Data Programming by Demonstration: A Framework for Interactively Learning Labeling Functions
We operationalize our framework with Ruler, an interactive system that synthesizes labeling rules for document classification by using span-level annotations of users on document examples.
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals
In light of this, we propose a novel multi-task generative adversarial network to convert the individual's EEG signals evoked by geometrical shapes to the original geometry.
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning
Deep learning algorithms have achieved excellent performance lately in a wide range of fields (e. g., computer version).
APEx: Accuracy-Aware Differentially Private Data Exploration
Organizations are increasingly interested in allowing external data scientists to explore their sensitive datasets.
Databases
