Maryam Fanaeepour
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it
Whom Maryam Fanaeepour trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Maryam Fanaeepour's perspective
Ordered by how strongly the researchers Maryam Fanaeepour trusts endorse each paper. Same corpus, a different order for every researcher.
- Revealing information while preserving privacy
- Accurate Estimation of the Degree Distribution of Private Networks
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Privacy: Theory meets Practice on the Map
- The Algorithmic Foundations of Differential Privacy
- Privacy integrated queries: an extensible platform for privacy-preserving data analysis
- Private analysis of graph structure (Proceedings of the VLDB Endowment)
- Computational Differential Privacy
- Privacy, accuracy, and consistency too: a holistic solution to contingency table release
- A Simple and Practical Algorithm for Differentially Private Data Release
Their papers
- PrivateSQL: A Differentially Private SQL Query Engine (2019) — 138 citations