Sam Scott

Artificial Intelligence · with Albrecht · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #12,259 of 35,345 by trust here, #17,110 by citations
• Computational Theory and Mathematics — 10 citations into it
• Information Systems — 5 citations into it

Whom Sam Scott trusts overall

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

1. Chris Peikert
2. Craig Gentry
3. Nicolas Gama
4. Zvika Brakerski
5. Sanjeev Arora
6. Richard Lindner

Who trusts Sam Scott overall

1. Hao Chen
2. Joppe W. Bos
3. Kim Laine

Papers from Sam Scott's perspective

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

1. Predicting Lattice Reduction (International Conference on the Theory and Application of Cryptographic Techniques)
2. Lossy trapdoor functions and their applications (SIAM journal on computing (Print))
3. Generating hard instances of lattice problems (extended abstract)
4. A fully homomorphic encryption scheme
5. Better Key Sizes (and Attacks) for LWE-Based Encryption
6. Public-key cryptosystems from the worst-case shortest vector problem: extended abstract (Symposium on the Theory of Computing)
7. Classical hardness of learning with errors (Symposium on the Theory of Computing)
8. Hardness of SIS and LWE with Small Parameters (Annual International Cryptology Conference)
9. Candidate Multilinear Maps from Ideal Lattices
10. New Algorithms for Learning in Presence of Errors

Their papers

• On the concrete hardness of Learning with Errors (2015) — 1,055 citations