Xiaojun Ye

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #28,821 of 35,345 by trust here, #33,294 by citations
• Privacy & Security — 9 citations into it

Whom Xiaojun Ye trusts overall

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

1. Frank McSherry
2. Cynthia Dwork

Who trusts Xiaojun Ye overall

1. Yatharth Dubey

Papers from Xiaojun Ye's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differentially private recommender systems: building privacy into the net
3. Differential Privacy
4. The Algorithmic Foundations of Differential Privacy
5. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
6. Collecting Telemetry Data Privately
7. Locally Differentially Private Protocols for Frequency Estimation
8. Local, Private, Efficient Protocols for Succinct Histograms
9. Extremal Mechanisms for Local Differential Privacy
10. Locally Differentially Private Frequent Itemset Mining

Their papers

• Distributed Clustering in the Anonymized Space with Local Differential Privacy (2019) — 8 citations