Sheng Zhong

Artificial Intelligence · with Hua · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #30,843 of 35,345 by trust here, #34,213 by citations
• Privacy & Security — 16 citations into it
• Statistics and Probability — 7 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Sheng Zhong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kamalika Chaudhuri
2. Cynthia Dwork
3. Frank McSherry
4. Claire Monteleoni

Who trusts Sheng Zhong overall

1. Yatharth Dubey
2. Aleksandra Korolova

Papers from Sheng Zhong's perspective

Ordered by how strongly the researchers Sheng Zhong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differentially Private Empirical Risk Minimization
3. Privacy-preserving logistic regression
4. A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
5. Differentially private data release for data mining
6. Collaborative filtering with privacy
7. Privacy-preserving matrix factorization
8. Differential Privacy
9. Differentially private recommender systems: building privacy into the net
10. Privacy, accuracy, and consistency too: a holistic solution to contingency table release

Their papers

• Distributed K-Means clustering guaranteeing local differential privacy (2020) — 70 citations
• Differentially Private Matrix Factorization (2015) — 97 citations