Abhishek B. Banerjee
Artificial Intelligence · 2012–2019
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #16,887 of 35,345 by trust here, #26,682 by citations
- Computational Theory and Mathematics — 15 citations into it; #5,485 of 12,182 by trust here, #7,501 by citations
Whom Abhishek B. Banerjee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chris Peikert
- Oded Regev
- Craig Gentry
- Vadim Lyubashevsky
- Daniele Micciancio
- Zvika Brakerski
- Vinod Vaikuntanathan
- Dan Boneh
- Oded Goldreich
- Sanjeev Arora
Who trusts Abhishek B. Banerjee overall
- Mark Zhandry
- Andrej Bogdanov
- Adeline Langlois
- Jan-Pieter D'Anvers
- Alon Rosen
- Chris Peikert
- Damien Stehlé
- Angshuman Karmakar
- Daniele Micciancio
- Vadim Lyubashevsky
Papers from Abhishek B. Banerjee's perspective
Ordered by how strongly the researchers Abhishek B. Banerjee trusts endorse each paper. Same corpus, a different order for every researcher.
- On lattices, learning with errors, random linear codes, and cryptography
- Trapdoors for hard lattices and new cryptographic constructions
- Fully homomorphic encryption using ideal lattices
- Trapdoors for Lattices: Simpler, Tighter, Faster, Smaller (IACR Cryptology ePrint Archive)
- On Ideal Lattices and Learning with Errors over Rings
- Public-key cryptosystems from the worst-case shortest vector problem: extended abstract (Symposium on the Theory of Computing)
- SWIFFT: A Modest Proposal for FFT Hashing (Fast Software Encryption Workshop)
- Secure Human Identification Protocols (International Conference on the Theory and Application of Cryptology and Information Security)
- Noise-tolerant learning, the parity problem, and the statistical query model (Symposium on the Theory of Computing)
- Generating hard instances of lattice problems (extended abstract)
Their papers
- Pseudorandom Functions and Lattices (2012) — 528 citations
- In vivo interrogation of gene function in the mammalian brain using CRISPR-Cas9 (2014) — 764 citations
- Relaxion stars and their detection via atomic physics (2019) — 149 citations