Zeyu Ding
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 64 citations into it
- Privacy & Security — 36 citations into it
- Sociology and Political Science — 19 citations into it
- Computational Theory and Mathematics — 8 citations into it
- Computer Science Applications — 6 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Zeyu Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Gilles Barthe
- Frank McSherry
- Marco Gaboardi
- Aws Albarghouthi
- Min Lyu
- Justin Hsu
- Leonardo de Moura
- Aaron Roth
- Ilya Mironov
Who trusts Zeyu Ding overall
Papers from Zeyu Ding's perspective
Ordered by how strongly the researchers Zeyu Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Privacy integrated queries: an extensible platform for privacy-preserving data analysis
- Differential Privacy: A Survey of Results
- Pseudorandom Bits for Polynomials
- Differential Privacy
- The Algorithmic Foundations of Differential Privacy
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Linear dependent types for differential privacy
- A Simple and Practical Algorithm for Differentially Private Data Release
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
Their papers
- Detecting Violations of Differential Privacy (2018) — 164 citations
- Proving differential privacy with shadow execution (2019) — 49 citations