Jack Doerner

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it; #33,636 of 35,345 by trust here, #18,186 by citations
• Computational Theory and Mathematics — 36 citations into it
• Privacy & Security — 25 citations into it; #650 of 709 by trust here, #351 by citations
• Computer Networks and Communications — 7 citations into it

Whom Jack Doerner trusts overall

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

1. Yehuda Lindell
2. Oded Goldreich
3. Samee Zahur
4. Moni Naor
5. Benny Pinkas
6. Wenliang Du
7. Marcel Keller
8. Xiao Shaun Wang
9. Donald Beaver
10. David E. Evans

Who trusts Jack Doerner overall

1. Adrià Gascón

Papers from Jack Doerner's perspective

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

1. Fair exchange with a semi-trusted third party (extended abstract)
2. Fairplay - Secure Two-Party Computation System
3. Completeness theorems for non-cryptographic fault-tolerant distributed computation
4. TASTY: tool for automating secure two-party computations
5. How to play ANY mental game
6. Faster Secure Two-Party Computation Using Garbled Circuits
7. Privacy preserving auctions and mechanism design
8. How To Exchange Secrets with Oblivious Transfer
9. The round complexity of secure protocols
10. Security Against Covert Adversaries: Efficient Protocols for Realistic Adversaries

Their papers

• Privacy-Preserving Distributed Linear Regression on High-Dimensional Data (2017) — 228 citations
• Secure Linear Regression on Vertically Partitioned Datasets (2016) — 108 citations