Jordan Awan

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 — 13 citations into it
• Privacy & Security — 6 citations into it
• Statistics and Probability — 6 citations into it

Whom Jordan Awan trusts overall

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

1. Cynthia Dwork
2. Quan Geng
3. Pramod Viswanath
4. Marco Gaboardi
5. Duy Vu
6. Aleksandra B. Slavkovic
7. Arpita Ghosh
8. Caroline Uhler
9. Frank McSherry
10. Aaron Roth

Papers from Jordan Awan's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. A Statistical Framework for Differential Privacy
3. Towards Sharp Inapproximability For Any 2-CSP
4. The Composition Theorem for Differential Privacy
5. Differentially Private Empirical Risk Minimization
6. Differential Privacy for Clinical Trial Data: Preliminary Evaluations
7. Universally utility-maximizing privacy mechanisms
8. Revealing information while preserving privacy
9. Smooth sensitivity and sampling in private data analysis
10. Differential Privacy

Their papers

• Differentially Private Uniformly Most Powerful Tests for Binomial Data (2018) — 58 citations