Damien Desfontaines

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Privacy & Security — 24 citations into it
• Sociology and Political Science — 14 citations into it
• Statistics and Probability — 10 citations into it
• Computer Science Applications — 7 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Damien Desfontaines trusts overall

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

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

Who trusts Damien Desfontaines overall

1. Rasmus Pagh

Papers from Damien Desfontaines's perspective

Ordered by how strongly the researchers Damien Desfontaines 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. The Algorithmic Foundations of Differential Privacy
4. Revealing information while preserving privacy
5. Smooth sensitivity and sampling in private data analysis
6. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
7. Differential Privacy
8. No free lunch in data privacy
9. Privacy: Theory meets Practice on the Map
10. Differential Privacy: A Survey of Results

Their papers

• Differentially Private SQL with Bounded User Contribution (2019) — 173 citations
• Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0) (2020) — 449 citations
• Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1) (2020) — 322 citations
• Cardinality Estimators do not Preserve Privacy (2018) — 54 citations