Jingcheng Liu

Artificial Intelligence · with Talwar · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Privacy & Security — 13 citations into it; #460 of 709 by trust here, #608 by citations
• Statistics and Probability — 9 citations into it

Whom Jingcheng Liu trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Kobbi Nissim
4. Adam D. Smith
5. Kunal Talwar
6. Kamalika Chaudhuri
7. Amos Beimel
8. Jing Lei
9. Aaron Roth
10. Abhradeep Thakurta

Who trusts Jingcheng Liu overall

1. Om Thakkar
2. Galen Andrew
3. Florian Tramèr
4. H. Brendan McMahan
5. Tom Sander

Papers from Jingcheng Liu's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Pseudorandom Bits for Polynomials
3. Preserving Statistical Validity in Adaptive Data Analysis
4. Differential Privacy
5. Revealing information while preserving privacy
6. Differential privacy and robust statistics
7. Differentially Private Release and Learning of Threshold Functions
8. What Can We Learn Privately?
9. Deep Learning with Differential Privacy
10. Smooth sensitivity and sampling in private data analysis

Their papers

• Private selection from private candidates (2018) — 157 citations