Edo Roth

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Privacy & Security — 31 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Federated & Distributed Learning — 5 citations into it

Whom Edo Roth trusts overall

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

1. Frank McSherry
2. Cynthia Dwork
3. Pascal Paillier
4. Johannes Blömer
5. Aaron Roth
6. Andreas Haeberlen
7. Henry Corrigan-Gibbs
8. Gergely Ács
9. Yvo Desmedt
10. Slawomir Goryczka

Who trusts Edo Roth overall

1. Tianhao Wang
2. Peter Kairouz

Papers from Edo Roth's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differential Privacy
3. How to share a secret
4. Boosting and Differential Privacy
5. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
6. Our Data, Ourselves: Privacy Via Distributed Noise Generation
7. The Algorithmic Foundations of Differential Privacy
8. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
9. Differentially Private Empirical Risk Minimization
10. Differentially private aggregation of distributed time-series with transformation and encryption

Their papers

• Honeycrisp: large-scale differentially private aggregation without a trusted core (2019) — 74 citations