Ping Xiong
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Privacy & Security — 7 citations into it
Whom Ping Xiong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ping Xiong's perspective
Ordered by how strongly the researchers Ping Xiong trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differential Privacy
- A firm foundation for private data analysis
- Iterative Constructions and Private Data Release
- Boosting the accuracy of differentially private histograms through consistency
- No free lunch in data privacy
- A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
- Pufferfish
- Network Traffic Classification Using Correlation Information (IEEE Transactions on Parallel and Distributed Systems)
- Multi-instance learning by treating instances as non-I.I.D. samples
Their papers
- Correlated Differential Privacy: Hiding Information in Non-IID Data Set (2015) — 198 citations