Alhassan F. Khedr

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #21,870 of 35,345 by trust here, #30,347 by citations
• Computational Theory and Mathematics — 13 citations into it; #7,365 of 12,182 by trust here, #9,306 by citations
• Privacy & Security — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Alhassan F. Khedr trusts overall

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

1. Craig Gentry
2. Chris Peikert
3. Kristin E. Lauter
4. Shai Halevi
5. Zvika Brakerski
6. Jacob Alperin-Sheriff
7. Dan Boneh
8. Vadim Lyubashevsky
9. Vinod Vaikuntanathan
10. Thore Graepel

Who trusts Alhassan F. Khedr overall

1. M. Sadegh Riazi
2. Kim Laine
3. Yoshinori Aono
4. Blake Pelton
5. Wei Dai
6. Takuya Hayashi

Papers from Alhassan F. Khedr's perspective

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

1. Fully homomorphic encryption using ideal lattices
2. Public Key Encryption with Keyword Search (International Conference on the Theory and Application of Cryptographic Techniques)
3. On Ideal Lattices and Learning with Errors over Rings
4. A fully homomorphic encryption scheme
5. Efficient Fully Homomorphic Encryption from (Standard) LWE
6. (Leveled) Fully Homomorphic Encryption without Bootstrapping
7. Can homomorphic encryption be practical?
8. Better Key Sizes (and Attacks) for LWE-Based Encryption
9. Random oracles are practical: a paradigm for designing efficient protocols
10. ML Confidential: Machine Learning on Encrypted Data

Their papers

• SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers (2015) — 118 citations