Cody R. Freitag
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it; #14,816 of 35,345 by trust here, #18,586 by citations
- Statistics and Probability — 26 citations into it
- Privacy & Security — 19 citations into it
- Electrical and Electronic Engineering — 15 citations into it
- Computational Theory and Mathematics — 12 citations into it
Whom Cody R. Freitag trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jayadev Acharya
- Oded Goldreich
- Liam Paninski
- Gregory Valiant
- Cynthia Dwork
- Clément Louis Canonne
- Daniel Kifer
- Marco Gaboardi
- Paul Valiant
- Ryan M. Rogers
Who trusts Cody R. Freitag overall
Papers from Cody R. Freitag's perspective
Ordered by how strongly the researchers Cody R. Freitag trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Local Privacy and Statistical Minimax Rates
- What Can We Learn Privately?
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Randomized response: a survey technique for eliminating evasive answer bias.
- Differential Privacy
- Priv'IT: Private and Sample Efficient Identity Testing
- Minimax Optimal Procedures for Locally Private Estimation
- Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
- Heavy Hitters
Their papers
- Inference Under Information Constraints III: Local Privacy Constraints (2021) — 40 citations
- Test without Trust: Optimal Locally Private Distribution Testing (2018) — 64 citations