Wei Ding
Artificial Intelligence · with Geng · 2018
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
Whom Wei Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Quan Geng
- Cynthia Dwork
- Kamalika Chaudhuri
- Pramod Viswanath
- Or Sheffet
- Borja Balle
- Arpita Ghosh
- Prateek Jain
- Ilya Mironov
Papers from Wei Ding's perspective
Ordered by how strongly the researchers Wei Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differentially Private Empirical Risk Minimization
- Differential Privacy: A Survey of Results
- Deep Learning with Differential Privacy
- Rényi Differential Privacy
- Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
- Universally utility-maximizing privacy mechanisms
- Near-optimal Differentially Private Principal Components
- Privacy-preserving deep learning
- Privacy-preserving logistic regression
Their papers
- Optimal Noise-Adding Mechanism in Additive Differential Privacy (2018) — 36 citations