Nina Mesing Stausholm

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Privacy & Security — 15 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Nina Mesing Stausholm trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Ilya Mironov
4. Ú. Erlingsson
5. Daniel M. Kane
6. Clément Louis Canonne
7. Luca Melis
8. Slawomir Goryczka
9. Aleksandra Korolova
10. Krishnaram Kenthapadi

Papers from Nina Mesing Stausholm's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Randomized response: a survey technique for eliminating evasive answer bias.
3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
4. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
5. On the geometry of differential privacy
6. No free lunch in data privacy
7. Pan-Private Streaming Algorithms
8. On significance of the least significant bits for differential privacy
9. A personal communication
10. Counting Distinct Elements in a Data Stream (International Workshop Randomization and Approximation Techniques in Computer Science)

Their papers

• Efficient Differentially Private F0 Linear Sketching (2020) — 19 citations