Wo-Shun Luk
Artificial Intelligence · 2008
A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Sociology and Political Science — 9 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Wo-Shun Luk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Wo-Shun Luk's perspective
Ordered by how strongly the researchers Wo-Shun Luk trusts endorse each paper. Same corpus, a different order for every researcher.
- k-Anonymity: A Model for Protecting Privacy
- L-diversity: privacy beyond k-anonymity
- Limiting privacy breaches in privacy preserving data mining
- Resisting structural re-identification in anonymized social networks (The VLDB journal)
- Anonymizing Social Networks
- Towards identity anonymization on graphs (SIGMOD Conference)
- Preserving Privacy in Social Networks Against Neighborhood Attacks (IEEE International Conference on Data Engineering)
- gSpan: graph-based substructure pattern mining
- Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography
- Mondrian Multidimensional K-Anonymity (IEEE International Conference on Data Engineering)