Bing-Rong Lin
Artificial Intelligence · 2010
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #13,780 of 35,345 by trust here, #24,417 by citations
- Privacy & Security — 15 citations into it
Whom Bing-Rong Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bing-Rong Lin overall
Papers from Bing-Rong Lin's perspective
Ordered by how strongly the researchers Bing-Rong Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- L-diversity: privacy beyond k-anonymity
- Composition attacks and auxiliary information in data privacy
- Minimality Attack in Privacy Preserving Data Publishing (Very Large Data Bases Conference)
- Boosting the accuracy of differentially private histograms through consistency
- A Face Is Exposed for AOL Searcher No
- Privacy-preserving data publishing: A survey of recent developments
- Convex Analysis and Optimization
- Calibrating Noise to Sensitivity in Private Data Analysis
- Revealing information while preserving privacy
- Differential Privacy
Their papers
- Towards an axiomatization of statistical privacy and utility (2010) — 111 citations