Weina Wang
Artificial Intelligence · with Ying · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it; #27,679 of 35,345 by trust here, #33,294 by citations
- Privacy & Security — 25 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Sociology and Political Science — 9 citations into it
- Statistics and Probability — 6 citations into it
Whom Weina Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- S. Muthu Muthukrishnan
- Frank McSherry
- Aaron Roth
- Kobbi Nissim
- Anindya De
- Avrim Blum
- Moritz Hardt
- Aleksandar Nikolov
- Adam D. Smith
Who trusts Weina Wang overall
- Alexander A. Alemi
- Ian S. Fischer
- Joshua V. Dillon
- Fatemehsadat Mireshghallah
- Aleksei Triastcyn
- Joseph Geumlek
- Paul W. Cuff
Papers from Weina Wang's perspective
Ordered by how strongly the researchers Weina Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differential Privacy
- Revealing information while preserving privacy
- Randomized response: a survey technique for eliminating evasive answer bias.
- Smooth sensitivity and sampling in private data analysis
- Lower Bounds in Differential Privacy
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
- The price of privately releasing contingency tables and the spectra of random matrices with correlated rows
- On the design and quantification of privacy preserving data mining algorithms
- The Algorithmic Foundations of Differential Privacy