Brett Hemenway Falk

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 Brett Hemenway Falk trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
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

Papers from Brett Hemenway Falk's perspective

Ordered by how strongly the researchers Brett Hemenway Falk 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. How to share a secret
4. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
5. The Algorithmic Foundations of Differential Privacy
6. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
7. Differentially private aggregation of distributed time-series with transformation and encryption
8. Privacy-Preserving Aggregation of Time-Series Data
9. Private and Continual Release of Statistics
10. Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity

Their papers

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