H-Index & Metrics Top Publications
Vinod Vaikuntanathan

Vinod Vaikuntanathan

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 57 Citations 22,949 136 World Ranking 1886 National Ranking 1042

Research.com Recognitions

Awards & Achievements

2013 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Cryptography
  • Algebra
  • Operating system

Vinod Vaikuntanathan spends much of his time researching Encryption, Theoretical computer science, Homomorphic encryption, Learning with errors and Probabilistic encryption. His studies in Encryption integrate themes in fields like Discrete mathematics and Secure multi-party computation, Cryptography. The Discrete mathematics study combines topics in areas such as Cryptosystem, Lattice problem, Multiplication and Trapdoor function.

He has included themes like Attribute-based encryption, Semantic security and 56-bit encryption in his Theoretical computer science study. His Homomorphic encryption research includes themes of Distributed computing, Security parameter, Computation, Homomorphic secret sharing and On-the-fly encryption. His studies examine the connections between Probabilistic encryption and genetics, as well as such issues in Multiple encryption, with regards to 40-bit encryption.

His most cited work include:

  • Trapdoors for hard lattices and new cryptographic constructions (1390 citations)
  • Fully homomorphic encryption over the integers (1241 citations)
  • Efficient Fully Homomorphic Encryption from (Standard) LWE (1047 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Theoretical computer science, Encryption, Discrete mathematics, Homomorphic encryption and Cryptography. His study explores the link between Theoretical computer science and topics such as Functional encryption that cross with problems in Turing machine. His Encryption study contributes to a more complete understanding of Computer security.

His Discrete mathematics research integrates issues from Lattice problem, Combinatorics, Pseudorandom number generator, Function and Polynomial. His Homomorphic encryption study integrates concerns from other disciplines, such as Computation, Security parameter, Arithmetic, Key and Homomorphic secret sharing. His study in Cryptography is interdisciplinary in nature, drawing from both Correctness, Obfuscation and Private information retrieval.

He most often published in these fields:

  • Theoretical computer science (46.96%)
  • Encryption (44.35%)
  • Discrete mathematics (26.96%)

What were the highlights of his more recent work (between 2017-2021)?

  • Theoretical computer science (46.96%)
  • Encryption (44.35%)
  • Discrete mathematics (26.96%)

In recent papers he was focusing on the following fields of study:

Vinod Vaikuntanathan mainly focuses on Theoretical computer science, Encryption, Discrete mathematics, Cryptography and Construct. His Theoretical computer science research includes themes of Mathematical proof, Obfuscation, Verifiable secret sharing, Protocol and Functional encryption. The subject of his Encryption research is within the realm of Computer security.

The Discrete mathematics study combines topics in areas such as Random oracle, Hash function, Learning with errors, Lattice and Function. He usually deals with Cryptography and limits it to topics linked to Upper and lower bounds and Scheme. His study looks at the intersection of Construct and topics like Cryptographic primitive with Secure multi-party computation.

Between 2017 and 2021, his most popular works were:

  • {GAZELLE}: A Low Latency Framework for Secure Neural Network Inference (177 citations)
  • Gazelle: A Low Latency Framework for Secure Neural Network Inference (64 citations)
  • Anonymous IBE, Leakage Resilience and Circular Security from New Assumptions (41 citations)

In his most recent research, the most cited papers focused on:

  • Cryptography
  • Algebra
  • Operating system

Vinod Vaikuntanathan mostly deals with Theoretical computer science, Encryption, Cryptography, Homomorphic encryption and Computer security. His Theoretical computer science research incorporates themes from Construct, Mathematical proof and Counterexample. The Ciphertext, Discrete logarithm and Stream cipher research Vinod Vaikuntanathan does as part of his general Encryption study is frequently linked to other disciplines of science, such as Special case, therefore creating a link between diverse domains of science.

He has researched Cryptography in several fields, including Discrete mathematics, Low complexity, Algebraic number, Obfuscation and Lattice. His studies in Homomorphic encryption integrate themes in fields like Node and Data mining. His work on Adversary, Traitor tracing and Public-key cryptography is typically connected to TRACE as part of general Computer security study, connecting several disciplines of science.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Fully homomorphic encryption over the integers

Marten van Dijk;Craig Gentry;Shai Halevi;Vinod Vaikuntanathan.
theory and application of cryptographic techniques (2010)

2055 Citations

Trapdoors for hard lattices and new cryptographic constructions

Craig Gentry;Chris Peikert;Vinod Vaikuntanathan.
symposium on the theory of computing (2008)

2011 Citations

Efficient Fully Homomorphic Encryption from (Standard) LWE

Zvika Brakerski;Vinod Vaikuntanathan.
foundations of computer science (2011)

1562 Citations

Leveled) fully homomorphic encryption without bootstrapping

Zvika Brakerski;Craig Gentry;Vinod Vaikuntanathan.
conference on innovations in theoretical computer science (2012)

1491 Citations

Can homomorphic encryption be practical

Michael Naehrig;Kristin Lauter;Vinod Vaikuntanathan.
cloud computing security workshop (2011)

1142 Citations

Fully homomorphic encryption from ring-LWE and security for key dependent messages

Zvika Brakerski;Vinod Vaikuntanathan.
international cryptology conference (2011)

1112 Citations

On-the-fly multiparty computation on the cloud via multikey fully homomorphic encryption

Adriana López-Alt;Eran Tromer;Vinod Vaikuntanathan.
symposium on the theory of computing (2012)

766 Citations

A Framework for Efficient and Composable Oblivious Transfer

Chris Peikert;Vinod Vaikuntanathan;Brent Waters.
international cryptology conference (2008)

618 Citations

Simultaneous Hardcore Bits and Cryptography against Memory Attacks

Adi Akavia;Shafi Goldwasser;Vinod Vaikuntanathan.
theory of cryptography conference (2009)

512 Citations

How to delegate and verify in public: verifiable computation from attribute-based encryption

Bryan Parno;Mariana Raykova;Vinod Vaikuntanathan.
theory of cryptography conference (2012)

404 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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