Fabienne Eigner

Artificial Intelligence · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Privacy & Security — 32 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Sociology and Political Science — 6 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Fabienne Eigner trusts overall

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

1. Frank McSherry
2. Cynthia Dwork
3. Ilya Mironov
4. Per Austrin
5. Jason Reed
6. Torben P. Pedersen
7. Fabrice Boudot
8. Ruichuan Chen
9. Istemi Ekin Akkus
10. Shiva Prasad Kasiviswanathan

Who trusts Fabienne Eigner overall

1. Gilles Barthe
2. Marco Gaboardi
3. Tao Zhang

Papers from Fabienne Eigner's perspective

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

1. Differential Privacy
2. Calibrating Noise to Sensitivity in Private Data Analysis
3. Our Data, Ourselves: Privacy Via Distributed Noise Generation
4. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
5. Towards Sharp Inapproximability For Any 2-CSP
6. Pseudorandom Bits for Polynomials
7. Revealing information while preserving privacy
8. Differentially private recommender systems: building privacy into the net
9. Practical privacy: the SuLQ framework
10. Computational Differential Privacy

Their papers

• Differential Privacy by Typing in Security Protocols (2013) — 35 citations
• Differentially private data aggregation with optimal utility (2014) — 74 citations