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09/15/2023
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms
Synthetic data generation methods, and in particular, private synthetic ...
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12/23/2022
The Consistency of Probabilistic Databases with Independent Cells
A probabilistic database with attribute-level uncertainty consists of re...
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12/20/2022
PreFair: Privately Generating Justifiably Fair Synthetic Data
When a database is protected by Differential Privacy (DP), its usability...
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09/13/2022
FEDEX: An Explainability Framework for Data Exploration Steps
When exploring a new dataset, Data Scientists often apply analysis queri...
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09/02/2022
DPXPlain: Privately Explaining Aggregate Query Answers
Differential privacy (DP) is the state-of-the-art and rigorous notion of...
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03/28/2022
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach
What-if (provisioning for an update to a database) and how-to (how to mo...
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02/22/2022
Understanding Queries by Conditional Instances
A powerful way to understand a complex query is by observing how it oper...
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03/26/2021
Synthesizing Linked Data Under Cardinality and Integrity Constraints
The generation of synthetic data is useful in multiple aspects, from tes...
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02/27/2021
On Optimizing the Trade-off between Privacy and Utility in Data Provenance
Organizations that collect and analyze data may wish or be mandated by r...
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08/20/2020
Towards Inferring Queries from Simple and Partial Provenance Examples
The field of query-by-example aims at inferring queries from output exam...
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07/08/2020
Explaining Natural Language Query Results
Multiple lines of research have developed Natural Language (NL) interfac...
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07/08/2020
T-REx: Table Repair Explanations
Data repair is a common and crucial step in many frameworks today, as ap...
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04/10/2020