1 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Faithful Federated Tabular Data Synthesis
Zilong Cao, Hai Zhang, Xuan Bi
Synthetic data is an important data source in the AI era. This paper studies the generation of mixed-type tabular synthetic data in federated settings, where two key challenges ari…
Observation-Level Watermarking and Detection for Tabular Data
Dongyu Cui, Xuan Bi
With the development of generative AI, watermarking techniques have been widely used to detect the authenticity of AI-generated data and protect the rights of users and creators. W…
AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science
An Luo, Jin Du, Xun Xian +12
Data science plays a critical role in transforming complex data into actionable insights across numerous domains. Recent developments in large language models (LLMs) and artificial…
Differentially Private Truncation of Unbounded Data via Public Second Moments
Zilong Cao, Xuan Bi, Hai Zhang
Data privacy is important in the AI era, and differential privacy (DP) is one of the golden solutions. However, DP is typically applicable only if data have a bounded underlying di…