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 GoyalCarnegie Mellon UniversityVerified email at cs.cmu.edu
Rahul SharmaPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
Amit SahaiSymantec Chair Professor of Computer Science; Professor of Mathematics (by courtesy), UCLAVerified email at cs.ucla.edu
Bhavana KanukurthiIndian Institute of Science, BangaloreVerified email at csa.iisc.ernet.in
Deevashwer RatheeUC BerkeleyVerified email at berkeley.edu
Juan GarayProfessor, Texas A&M University, Computer Science & EngineeringVerified email at TAMU.EDU
Nishant KumarPhD student, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Ran GellesBar-Ilan UniversityVerified email at biu.ac.il
Melissa ChaseMicrosoft ResearchVerified email at microsoft.com
Ramachandran RamjeeMicrosoft Research IndiaVerified email at microsoft.com
Ranjita BhagwanMicrosoft Research IndiaVerified email at microsoft.com
Srinivasan RaghuramanVisa ResearchVerified email at visa.com
Akash ShahPhD Student, UCLAVerified email at ucla.edu
Harry BuhrmanGroup leader CWI & Distinguished Research Professor Univ. of Amsterdam & Founding Director QuSoftVerified email at cwi.nl
Serge FehrCWIVerified email at cwi.nl
Saikrishna BadrinarayananStaff Applied Researcher, LinkedInVerified email at linkedin.com
Aseem RastogiResearcher, Microsoft ResearchVerified email at microsoft.com
Vinod VaikuntanathanProfessor of Computer Science, Massachusetts Institute of TechnologyVerified email at csail.mit.edu

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 Proc. Priv. Enhancing Technol. 2019 (3), 26-49, 2019	441*	2019
Position based cryptography N Chandran, V Goyal, R Moriarty, R Ostrovsky Annual International Cryptology Conference, 391-407, 2009	212	2009
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	200	2020
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	192	2014
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	169	2020
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	168	2009
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	157	2016
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	146	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	120	2008
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	80	2019
User-controlled data encryption with obfuscated policy N Chandran, ME Chase, KE Lauter, V Vaikuntanathan US Patent 9,077,525, 2015	73	2015
EzPC: Programmable, efficient, and scalable secure two-party computation for machine learning N Chandran, D Gupta, A Rastogi, R Sharma, S Tripathi Cryptology ePrint Archive, 2017	64	2017
HOP: Hardware makes Obfuscation Practical. K Nayak, CW Fletcher, L Ren, N Chandran, SV Lokam, E Shi, V Goyal NDSS 2017, 0, 2017	60	2017
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	58	2021
Functional re-encryption and collusion-resistant obfuscation N Chandran, M Chase, V Vaikuntanathan Theory of Cryptography: 9th Theory of Cryptography Conference, TCC 2012 …, 2012	57	2012
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	56	2014
Block-wise non-malleable codes N Chandran, V Goyal, P Mukherjee, O Pandey, J Upadhyay Cryptology ePrint Archive, 2015	55	2015
Privacy amplification with asymptotically optimal entropy loss N Chandran, B Kanukurthi, R Ostrovsky, L Reyzin Journal of the ACM (JACM) 61 (5), 1-28, 2014	46	2014
A secure cryptographic token interface C Cachin, N Chandran 2009 22nd IEEE Computer Security Foundations Symposium, 141-153, 2009	46	2009
A clustering approach to solve the multiple travelling salesmen problem N Chandran, TT Narendran, K Ganesh International Journal of Industrial and Systems Engineering 1 (3), 372-387, 2006	45	2006

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