no code implementations • 14 May 2024 • Chendi Wang, Yuqing Zhu, Weijie J. Su, Yu-Xiang Wang
A recent study by De et al. (2022) has reported that large-scale representation learning through pre-training on a public dataset significantly enhances differentially private (DP) learning in downstream tasks, despite the high dimensionality of the feature space.
no code implementations • 21 Jan 2023 • Ximing Li, Chendi Wang, Guang Cheng
To complete the picture, we establish a lower bound for TV accuracy that holds for every $\epsilon$-DP synthetic data generator.
no code implementations • 22 Dec 2022 • Gursimran Singh, Chendi Wang, Ahnaf Tazwar, Lanjun Wang, Yong Zhang
Data trading is essential to accelerate the development of data-driven machine learning pipelines.
no code implementations • 28 Mar 2018 • Chendi Wang
An automatic Facial Expression Recognition (FER) model with Adaboost face detector, feature selection based on manifold learning and synergetic prototype based classifier has been proposed.
Facial Expression Recognition Facial Expression Recognition (FER) +1