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05/16/2023
Synthetic data, real errors: how (not) to publish and use synthetic data
Generating synthetic data through generative models is gaining interest ...
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04/07/2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data
Generating synthetic data through generative models is gaining interest ...
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02/24/2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection
Data is the foundation of most science. Unfortunately, sharing data can ...
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11/11/2022
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
It is important to guarantee that machine learning algorithms deployed i...
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07/11/2022
DAUX: a Density-based Approach for Uncertainty eXplanations
Uncertainty quantification (UQ) is essential for creating trustworthy ma...
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10/25/2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Machine learning models have been criticized for reflecting unfair biase...
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02/17/2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Devising domain- and model-agnostic evaluation metrics for generative mo...
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01/24/2021