Yingshu Li

Artificial Intelligence · with Cai · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Yingshu Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sofus A. Macskassy

Papers from Yingshu Li's perspective

Ordered by how strongly the researchers Yingshu Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. L-diversity: privacy beyond k-anonymity
2. Differential Privacy
3. Classification in Networked Data: A Toolkit and a Univariate Case Study
4. k-Anonymity: A Model for Protecting Privacy
5. Anonymizing Social Networks
6. Why collective inference improves relational classification (Knowledge Discovery and Data Mining)
7. PrivBayes: private data release via bayesian networks (SIGMOD Conference)
8. A brief survey on anonymization techniques for privacy preserving publishing of social network data (SKDD)
9. Collective Classification in Network Data
10. You are who you know: inferring user profiles in online social networks

Their papers

• Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networks (2018) — 494 citations