Yizhen Wang
Artificial Intelligence · 2016
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it
- Privacy & Security — 26 citations into it
- Statistics and Probability — 10 citations into it
- Sociology and Political Science — 7 citations into it
Whom Yizhen Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Daniel Kifer
- Kamalika Chaudhuri
- Frank McSherry
- Ashwin Machanavajjhala
- Kobbi Nissim
- Adam D. Smith
- David J. Aldous
- Anand D. Sarwate
- Raef Bassily
Who trusts Yizhen Wang overall
Papers from Yizhen Wang's perspective
Ordered by how strongly the researchers Yizhen Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differentially Private Empirical Risk Minimization
- The Algorithmic Foundations of Differential Privacy
- Differential privacy and robust statistics
- Revealing information while preserving privacy
- No free lunch in data privacy
- Privacy: Theory meets Practice on the Map
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Privacy, accuracy, and consistency too: a holistic solution to contingency table release
Their papers
- Pufferfish Privacy Mechanisms for Correlated Data (2016) — 172 citations
- Privacy-preserving Analysis of Correlated Data (2016) — 14 citations