Nishanth Chandran

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Divya GuptaPrincipal Researcher, Microsoft Research IndiaVerified email at microsoft.com
Rafail OstrovskyNorman E. Friedman Chair in Knowledge Sciences, Distinguished Prof. of CS & MATHVerified email at cs.ucla.edu
Vipul GoyalNTT ResearchVerified email at vipulgoyal.org
Rahul SharmaPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Mayank RatheeUC BerkeleyVerified email at berkeley.edu
Bhavana KanukurthiIndian Institute of Science, BangaloreVerified email at csa.iisc.ernet.in
Deevashwer RatheeUC BerkeleyVerified email at berkeley.edu
Amit SahaiSymantec Chair Professor of Computer Science; Professor of Mathematics (by courtesy), UCLAVerified email at cs.ucla.edu
Nishant KumarPhD student, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Sameer WaghDevron; UC Berkeley; Princeton UniversityVerified email at alumni.princeton.edu
Juan GarayProfessor, Texas A&M University, Computer Science & EngineeringVerified email at TAMU.EDU
Akash ShahPhD Student, UCLAVerified email at ucla.edu
Ran GellesBar-Ilan UniversityVerified email at biu.ac.il
Sruthi SekarComputer Science and Engineering, IIT BombayVerified email at iitb.ac.in
Melissa ChaseMicrosoft ResearchVerified email at microsoft.com
Ramachandran RamjeeMicrosoft Research IndiaVerified email at microsoft.com
Ranjita BhagwanGoogle Global Networking, Bangalore, IndiaVerified email at microsoft.com
Srinivasan RaghuramanVisa ResearchVerified email at visa.com
Kanav GuptaUniversity of MarylandVerified email at umd.edu
Harry BuhrmanChief Scientist Q Algorithms @ Quantinuum, Professor Univ. of Amsterdam & Founding Director QuSoftVerified email at quantinuum.com

Nishanth Chandran

Principal Researcher, Microsoft Research, India

Verified email at microsoft.com - Homepage

Cryptography Security


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SecureNN: 3-party secure computation for neural network training S Wagh, D Gupta, N Chandran Proceedings on Privacy Enhancing Technologies, 2019	620*	2019
Cryptflow2: Practical 2-party secure inference D Rathee, M Rathee, N Kumar, N Chandran, D Gupta, A Rastogi, ... Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020	343	2020
Cryptflow: Secure tensorflow inference N Kumar, M Rathee, N Chandran, D Gupta, A Rastogi, R Sharma 2020 IEEE Symposium on Security and Privacy (SP), 336-353, 2020	303	2020
Position based cryptography N Chandran, V Goyal, R Moriarty, R Ostrovsky Annual International Cryptology Conference, 391-407, 2009	238	2009
Position-based quantum cryptography: Impossibility and constructions H Buhrman, N Chandran, S Fehr, R Gelles, V Goyal, R Ostrovsky, ... SIAM Journal on Computing 43 (1), 150-178, 2014	237	2014
Big data analytics over encrypted datasets with seabed A Papadimitriou, R Bhagwan, N Chandran, R Ramjee, A Haeberlen, ... 12th USENIX symposium on operating systems design and implementation (OSDI …, 2016	183	2016
EzPC: Programmable and efficient secure two-party computation for machine learning N Chandran, D Gupta, A Rastogi, R Sharma, S Tripathi 2019 IEEE European Symposium on Security and Privacy (EuroS&P), 496-511, 2019	180	2019
A public key encryption scheme secure against key dependent chosen plaintext and adaptive chosen ciphertext attacks J Camenisch, N Chandran, V Shoup Annual International Conference on the Theory and Applications of …, 2009	179	2009
Ring signatures of sub-linear size without random oracles N Chandran, J Groth, A Sahai International Colloquium on Automata, Languages, and Programming, 423-434, 2007	153	2007
New constructions for UC secure computation using tamper-proof hardware N Chandran, V Goyal, A Sahai Advances in Cryptology–EUROCRYPT 2008: 27th Annual International Conference …, 2008	124	2008
Function secret sharing for mixed-mode and fixed-point secure computation E Boyle, N Chandran, N Gilboa, D Gupta, Y Ishai, N Kumar, M Rathee Annual International Conference on the Theory and Applications of …, 2021	119	2021
Sirnn: A math library for secure rnn inference D Rathee, M Rathee, RKK Goli, D Gupta, R Sharma, N Chandran, ... 2021 IEEE Symposium on Security and Privacy (SP), 1003-1020, 2021	111	2021
User-controlled data encryption with obfuscated policy N Chandran, ME Chase, KE Lauter, V Vaikuntanathan US Patent 9,077,525, 2015	90	2015
Re-encryption, functional re-encryption, and multi-hop re-encryption: a framework for achieving obfuscation-based security and instantiations from lattices N Chandran, M Chase, FH Liu, R Nishimaki, K Xagawa International Workshop on Public Key Cryptography, 95-112, 2014	68	2014
HOP: Hardware makes Obfuscation Practical. K Nayak, CW Fletcher, L Ren, N Chandran, SV Lokam, E Shi, V Goyal NDSS 2017, 0, 2017	67	2017
Circuit-PSI with linear complexity via relaxed batch OPPRF N Chandran, D Gupta, A Shah Proceedings on Privacy Enhancing Technologies, 2022	62	2022
Functional re-encryption and collusion-resistant obfuscation N Chandran, M Chase, V Vaikuntanathan Theory of Cryptography Conference, 404-421, 2012	61	2012
Efficient linear multiparty PSI and extensions to circuit N Chandran, N Dasgupta, D Gupta, SLB Obbattu, S Sekar, A Shah quorum psi. Cryptology ePrint Archive, Report 172, 2021, 2021	59	2021
Block-wise non-malleable codes N Chandran, V Goyal, P Mukherjee, O Pandey, J Upadhyay Cryptology ePrint Archive, 2015	58	2015
Sigma: Secure gpt inference with function secret sharing K Gupta, N Jawalkar, A Mukherjee, N Chandran, D Gupta, A Panwar, ... Cryptology ePrint Archive, 2023	51	2023

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