Seng Pei Liew
1 indexed paper
Recent (6 mo)
1With code
0Influential cites
0Benchmarked
0Publications per year
126
Top categories
Stats ML×1Crypto×1ML×1
Frequent co-authors
Research Timeline
2026
Differentially Private Sampling from Distributions via Wasserstein Projection
This paper introduces a novel framework for differentially private sampling by using the Wasserstein distance as the utility measure, proposing the Wasserstein Projection Mechanism (WPM) to address limitations of density ratio-based methods.
Highlighted terms show continued research focus across papers