His scientific interests lie mostly in Theoretical computer science, Cryptography, Encryption, Secure multi-party computation and Cryptographic primitive. His studies in Theoretical computer science integrate themes in fields like Gas meter prover, Random oracle and Oblivious transfer. Manoj Prabhakaran has researched Cryptography in several fields, including State, Oracle, Construct, Computer network and Formal verification.
The Encryption study combines topics in areas such as Overhead, Secret sharing and Commitment scheme. His Secure multi-party computation study integrates concerns from other disciplines, such as Field and String. In his study, Pseudorandom generator and Communication complexity is inextricably linked to Secure two-party computation, which falls within the broad field of Cryptographic primitive.
His primary areas of study are Theoretical computer science, Cryptography, Secure multi-party computation, Encryption and Computation. The study incorporates disciplines such as Protocol, Oblivious transfer, Cryptographic primitive, Reduction and Generalization in addition to Theoretical computer science. His biological study spans a wide range of topics, including Discrete mathematics and Characterization.
His Cryptography study also includes
His main research concerns Computation, Theoretical computer science, Encryption, Cryptography and Secure multi-party computation. Manoj Prabhakaran combines Computation and Algebraic structure in his studies. His Theoretical computer science research integrates issues from Homomorphic encryption, Secrecy, Protocol and Permutation.
His work in the fields of Malleability and Ciphertext overlaps with other areas such as As is. His Cryptography study combines topics in areas such as Completeness and Discrete mathematics. He interconnects Upper and lower bounds, String, Distributed computing and SIMPLE in the investigation of issues within Secure multi-party computation.
Manoj Prabhakaran spends much of his time researching Cryptography, Secure multi-party computation, Discrete mathematics, Computation and Distributed computing. His Secure multi-party computation study frequently draws connections between adjacent fields such as Computable function. His research links Witness with Discrete mathematics.
His research in Computation intersects with topics in Symmetric function, Theoretical computer science and Completeness. Manoj Prabhakaran connects Distributed computing with Bottleneck in his study.
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.
Attribute-based signatures
Hemanta K. Maji;Manoj Prabhakaran;Mike Rosulek.
the cryptographers track at the rsa conference (2011)
Founding Cryptography on Oblivious Transfer --- Efficiently
Yuval Ishai;Manoj Prabhakaran;Amit Sahai.
international cryptology conference (2008)
The smallest grammar problem
M. Charikar;E. Lehman;Ding Liu;R. Panigrahy.
IEEE Transactions on Information Theory (2005)
Dynamic Searchable Encryption via Blind Storage.
Muhammad Naveed;Manoj Prabhakaran;Carl A. Gunter.
IACR Cryptology ePrint Archive (2014)
Positive results and techniques for obfuscation
Benjamin Lynn;Manoj Prabhakaran;Amit Sahai.
Lecture Notes in Computer Science (2004)
Secure Multi-Party Computation
M.M. Prabhakaran;A. Sahai.
(2013)
Attribute-Based Signatures: Achieving Attribute-Privacy and Collusion-Resistance.
Hemanta K. Maji;Manoj Prabhakaran;Mike Rosulek.
IACR Cryptology ePrint Archive (2008)
Concurrent zero knowledge with logarithmic round-complexity
M. Prabhakaran;A. Rosen;A. Sahai.
foundations of computer science (2002)
Attribute-sets: a practically motivated enhancement to attribute-based encryption
Rakesh Bobba;Himanshu Khurana;Manoj Prabhakaran.
european symposium on research in computer security (2009)
Private circuits II : Keeping secrets in tamperable circuits
Yuval Ishai;Manoj Prabhakaran;Amit Sahai;David Wagner.
Lecture Notes in Computer Science (2006)
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