4 papers
Robust Estimation of Sparse Numerical Vectors under Local Differential Privacy
Puning Zhao, Zhikun Zhang, Shaowei Wang +5
Local differential privacy (LDP) protocols are vulnerable to poisoning attacks. Existing research have proposed efficient defense strategies for single-item users. However, in prac…
Multi-tier Differential Private Query Release
Shaowei Wang, Jinn Li, Yun Peng +5
Answering statistical queries over sensitive data under differential privacy (DP) is a common task in many settings, including databases, mobile computing, and data markets. In the…
Consistent Estimation of Numerical Distributions under Local Differential Privacy by Wavelet Expansion
Puning Zhao, Zhikun Zhang, Bo Sun +4
Distribution estimation under local differential privacy (LDP) is a fundamental and challenging task. Significant progresses have been made on categorical data. However, due to dif…
On Theoretical Limits of Learning with Label Differential Privacy
Puning Zhao, Chuan Ma, Li Shen +2
Label differential privacy (DP) is designed for learning problems involving private labels and public features. While various methods have been proposed for learning under label DP…