Xuebin Ren

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Privacy & Security — 40 citations into it
• Computer Science Applications — 18 citations into it
• Statistics and Probability — 16 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Algorithms & Complexity — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Xuebin Ren trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Ú. Erlingsson
4. Raef Bassily
5. Adam D. Smith
6. Ninghui Li
7. David Starobinski
8. Kobbi Nissim
9. Rui Chen
10. Giulia C. Fanti

Papers from Xuebin Ren's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differential Privacy
3. The Algorithmic Foundations of Differential Privacy
4. Differentially Private Empirical Risk Minimization
5. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
6. What Can We Learn Privately?
7. Deep Learning with Differential Privacy
8. Our Data, Ourselves: Privacy Via Distributed Noise Generation
9. Local Privacy and Statistical Minimax Rates
10. Privacy integrated queries: an extensible platform for privacy-preserving data analysis

Their papers

• Locally Differentially Private Data Collection and Analysis (2019) — 13 citations
• $\textsf{LoPub}$ : High-Dimensional Crowdsourced Data Publication With Local Differential Privacy (2016) — 112 citations