Phillipp Schoppmann

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 112 citations into it; #33,641 of 35,345 by trust here, #18,186 by citations
• Computational Theory and Mathematics — 61 citations into it
• Privacy & Security — 55 citations into it; #651 of 709 by trust here, #351 by citations
• Information Systems — 15 citations into it
• Computer Networks and Communications — 12 citations into it
• ML Systems & Hardware — 5 citations into it

Whom Phillipp Schoppmann trusts overall

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

1. Cynthia Dwork
2. Yehuda Lindell
3. Oded Goldreich
4. Yan Huang
5. Benny Pinkas
6. Samee Zahur
7. Moni Naor
8. David E. Evans
9. Ivan Bjerre Damgård
10. Donald Beaver

Who trusts Phillipp Schoppmann overall

1. Nitin Agrawal
2. Ali Shahin Shamsabadi
3. Adrià Gascón
4. Yang Liu
5. Matt J. Kusner
6. David E. Evans
7. Qiang Yang
8. Amrita Roy Chowdhury
9. Valerie Chen

Papers from Phillipp Schoppmann's perspective

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

1. Fair exchange with a semi-trusted third party (extended abstract)
2. How to play ANY mental game
3. Fully homomorphic encryption using ideal lattices
4. Fairplay - Secure Two-Party Computation System
5. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
6. Protocols for secure computations
7. Completeness theorems for non-cryptographic fault-tolerant distributed computation
8. TASTY: tool for automating secure two-party computations
9. Faster Secure Two-Party Computation Using Garbled Circuits
10. Privacy Preserving Data Mining

Their papers

• Privacy-Preserving Distributed Linear Regression on High-Dimensional Data (2017) — 228 citations
• Communication-Computation Trade-offs in PIR (2019) — 130 citations
• Private Nearest Neighbors Classification in Federated Databases (2018) — 16 citations
• Secure Linear Regression on Vertically Partitioned Datasets (2016) — 108 citations