Revisit Tabular Data Generator through Differential Privacy Perspective
- 2024-08-12 (Mon.), 10:30 AM
- 統計所B1演講廳；茶 會：上午10：10。
- 英文演講，實體與線上視訊同步進行。
- Dr. Chi-Hua Wang ( 王啟樺 博士後研究員 )
- Department of Statistics and Data Science, University of California, Los Angeles (UCLA)
Abstract
In this talk, we will walk through 3 representative tabular data generator from the eye of Differential Privacy. These tabular data generator are CTGAN (GAN-based), TabDDPM (Diffusion-based) and GReaT (Language-based). We will first start from a digital advertisement use case to motivate the task of tabular data generation. Then we will discuss specific challenges regards to each tabular data generator. Then we will motivate the differential privacy of synthetic data from the task of data sharing and review the differential privacy notion in sharing unstructured data.
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最後更新日期：2024-08-05 14:39
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