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Nishanth Chandran
Nishanth Chandran
Principal Researcher, Microsoft Research, India
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
SecureNN: 3-Party Secure Computation for Neural Network Training.
S Wagh, D Gupta, N Chandran
Proc. Priv. Enhancing Technol. 2019 (3), 26-49, 2019
288*2019
Position based cryptography
N Chandran, V Goyal, R Moriarty, R Ostrovsky
Annual International Cryptology Conference, 391-407, 2009
2012009
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
1712014
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
1652009
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
1362007
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
1242016
New constructions for UC secure computation using tamper-proof hardware
N Chandran, V Goyal, A Sahai
Annual International Conference on the Theory and Applications of …, 2008
1152008
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
1072020
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
972019
User-controlled data encryption with obfuscated policy
N Chandran, ME Chase, KE Lauter, V Vaikuntanathan
US Patent 9,077,525, 2015
622015
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
582020
Functional re-encryption and collusion-resistant obfuscation
N Chandran, M Chase, V Vaikuntanathan
Theory of Cryptography Conference, 404-421, 2012
562012
HOP: Hardware makes Obfuscation Practical.
K Nayak, CW Fletcher, L Ren, N Chandran, SV Lokam, E Shi, V Goyal
NDSS 2017, 0, 2017
542017
Block-wise non-malleable codes
N Chandran, V Goyal, P Mukherjee, O Pandey, J Upadhyay
Cryptology ePrint Archive, 2015
532015
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
512014
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
462014
A secure cryptographic token interface
C Cachin, N Chandran
2009 22nd IEEE Computer Security Foundations Symposium, 141-153, 2009
442009
Locally updatable and locally decodable codes
N Chandran, B Kanukurthi, R Ostrovsky
Theory of Cryptography Conference, 489-514, 2014
432014
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
402006
Achieving privacy in verifiable computation with multiple servers–without FHE and without pre-processing
P Ananth, N Chandran, V Goyal, B Kanukurthi, R Ostrovsky
International Workshop on Public Key Cryptography, 149-166, 2014
362014
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