Ting Yu
Artificial Intelligence · with Cormode · 2011–2016
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it; #13,518 of 35,345 by trust here, #9,641 by citations
- Privacy & Security — 25 citations into it; #445 of 709 by trust here, #404 by citations
- Management Science and Operations Research — 6 citations into it
- Sociology and Political Science — 6 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Ting Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Ting Yu overall
Papers from Ting Yu's perspective
Ordered by how strongly the researchers Ting Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Differentially private recommender systems: building privacy into the net
- Differential Privacy
- Privacy, accuracy, and consistency too: a holistic solution to contingency table release
- Randomized response: a survey technique for eliminating evasive answer bias.
- Privacy integrated queries: an extensible platform for privacy-preserving data analysis
- A firm foundation for private data analysis
- L-diversity: privacy beyond k-anonymity
- Smooth sensitivity and sampling in private data analysis
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Differential Privacy: A Survey of Results
Their papers
- Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy (2016) — 344 citations
- Differentially Private Spatial Decompositions (2011) — 427 citations