Nikolaj Volgushev

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #30,476 of 35,345 by trust here, #28,481 by citations
• Computational Theory and Mathematics — 11 citations into it; #10,563 of 12,182 by trust here, #8,294 by citations
• Information Systems — 10 citations into it; #7,776 of 8,771 by trust here, #7,386 by citations
• Privacy & Security — 10 citations into it

Whom Nikolaj Volgushev trusts overall

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

1. Alex Krizhevsky
2. Eike Kiltz
3. Marcel Keller
4. Valerio Pastro
5. Ivan Bjerre Damgård
6. Nigel P. Smart
7. Peter Scholl
8. Payman Mohassel

Who trusts Nikolaj Volgushev overall

1. Marcel Keller

Papers from Nikolaj Volgushev's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. Universally composable security: a new paradigm for cryptographic protocols
3. Rethinking the Inception Architecture for Computer Vision
4. SecureML: A System for Scalable Privacy-Preserving Machine Learning
5. Completeness theorems for non-cryptographic fault-tolerant distributed computation
6. Protocols for secure computations
7. Practical Covertly Secure MPC for Dishonest Majority - Or: Breaking the SPDZ Limits
8. Unconditionally Secure Constant Round Multi-Party Computation for Equality, Comparison, Bits and Exponentiation
9. Overdrive: Making SPDZ Great Again
10. Multiparty Computation from Somewhat Homomorphic Encryption

Their papers

• Secure MPC for Analytics as a Web Application (2016) — 24 citations
• New Primitives for Actively-Secure MPC over Rings with Applications to Private Machine Learning (2019) — 182 citations