2 papers
cs.CR2026
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…
cs.LG2025
Enhancing Differentially Private Linear Regression via Public Second-Moment
Zilong Cao, Hai Zhang
Leveraging information from public data has become increasingly crucial in enhancing the utility of differentially private (DP) methods. Traditional DP approaches often require add…