Vinod Vaikuntanathan
Massachusetts Institute of Technology
Associate Professor
Department of Electrical Engineering and Computer Science
Research Area
#Computer science#Theoretical computer science#Mathematics#Encryption#Discrete mathematics#Cryptography#Homomorphic encryption#Obfuscation (software)#Computer security#Obfuscation
SCIE paper information
Papers relevant to ‘Computer science’: 6
Research performance of SCIE papers matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Indistinguishability Obfuscation from Functional Encryption
2018/11 JOURNAL OF THE ACM 2.17 Impact Factor 190 citations
SHIELD: Scalable Homomorphic Implementation of Encrypted Data-Classifiers
2016/09 IEEE TRANSACTIONS ON COMPUTERS 2.916 Impact Factor 92 citations
Papers for author ‘Vinod Vaikuntanathan’: 10
Number of published SCIE papers by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Efficient Fully Homomorphic Encryption from (Standard) $\mathsf{LWE}$
2014/04 SIAM JOURNAL ON COMPUTING 0.741 Impact Factor 277 citations
Indistinguishability Obfuscation from Functional Encryption
2018/11 JOURNAL OF THE ACM 2.17 Impact Factor 190 citations
conference information
Papers relevant to ‘Computer science’: 14
Research performance of Top-tier Conference matching with ‘Computer science’
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
{GAZELLE}: A Low Latency Framework for Secure Neural Network Inference
2018/01 SECURITY Top-tier Conference 244 citations
Predicate Encryption for Circuits from LWE
2015/08 CRYPTO Top-tier Conference 184 citations
Papers for author ‘Vinod Vaikuntanathan’: 28
Number of published Top-tier Conference by year
*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.
Fully Key-Homomorphic Encryption, Arithmetic Circuit ABE and Compact Garbled Circuits
2014/05 EUROCRYPT Top-tier Conference 356 citations
{GAZELLE}: A Low Latency Framework for Secure Neural Network Inference
2018/01 SECURITY Top-tier Conference 244 citations
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