
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
Log in to PhD.GO
Access the Bookmarks
Add or remove professors and programs of interest from your Bookmarks
Subscribe to the graduate program newsletters that you've bookmarked
Enter your test results to ensure you meet the minimum for each graduate program at Bookmarks
At a glance, see program deadlines you've bookmarked on your calendar