Andreas Lochbihler

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Privacy & Security — 8 citations into it
• Sociology and Political Science — 6 citations into it
• Computer Networks and Communications — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Andreas Lochbihler trusts overall

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

1. Cynthia Dwork
2. Raef Bassily
3. Muthu Dayalan
4. Ú. Erlingsson
5. Ashwin Machanavajjhala
6. Daniel Kifer
7. Adam D. Smith
8. Ilya Mironov
9. Giulia C. Fanti
10. Kobbi Nissim

Papers from Andreas Lochbihler's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Boosting and Differential Privacy
3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
4. Privacy: Theory meets Practice on the Map
5. Relationship privacy: output perturbation for queries with joins
6. Rényi Differential Privacy
7. Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
8. Differential Privacy: A Survey of Results
9. Noiseless Database Privacy
10. Heavy Hitters

Their papers

• Cardinality Estimators do not Preserve Privacy (2018) — 54 citations