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Jalaj Upadhyay
Jalaj Upadhyay
Assistant Professor, Rutgers
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
Is interaction necessary for distributed private learning?
A Smith, A Thakurta, J Upadhyay
2017 IEEE Symposium on Security and Privacy (SP), 58-77, 2017
1742017
Block-wise non-malleable codes
N Chandran, V Goyal, P Mukherjee, O Pandey, J Upadhyay
Cryptology ePrint Archive, 2015
572015
Near optimal linear algebra in the online and sliding window models
V Braverman, P Drineas, C Musco, C Musco, J Upadhyay, DP Woodruff, ...
2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020
562020
On the complexity of the herding attack and some related attacks on hash functions
SR Blackburn, DR Stinson, J Upadhyay
Designs, Codes and Cryptography 64, 171-193, 2012
552012
On differentially private graph sparsification and applications
R Arora, J Upadhyay
Advances in neural information processing systems 32, 2019
432019
Random projections, graph sparsification, and differential privacy
J Upadhyay
International Conference on the Theory and Application of Cryptology and …, 2013
262013
The price of privacy for low-rank factorization
J Upadhyay
Advances in Neural Information Processing Systems 31, 2018
252018
Randomness efficient fast-johnson-lindenstrauss transform with applications in differential privacy and compressed sensing
J Upadhyay
arXiv preprint arXiv:1410.2470, 2014
232014
Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
H Fichtenberger, M Henzinger, J Upadhyay
22*2023
Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets
A Ganesh, A Thakurta, J Upadhyay
The Thirty Sixth Annual Conference on Learning Theory, 1730-1773, 2023
21*2023
Fast and space-optimal low-rank factorization in the streaming model with application in differential privacy
J Upadhyay
arXiv preprint arXiv:1604.01429, 2016
202016
Differentially private linear algebra in the streaming model
J Upadhyay
arXiv preprint arXiv:1409.5414, 2014
202014
Almost tight error bounds on differentially private continual counting
M Henzinger, J Upadhyay, S Upadhyay
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
192023
A coding theory foundation for the analysis of general unconditionally secure proof-of-retrievability schemes for cloud storage
MB Paterson, DR Stinson, J Upadhyay
Journal of Mathematical Cryptology 7 (3), 183-216, 2013
192013
Sublinear space private algorithms under the sliding window model
J Upadhyay
International Conference on Machine Learning, 6363-6372, 2019
182019
A framework for private matrix analysis in sliding window model
J Upadhyay, S Upadhyay
International Conference on Machine Learning, 10465-10475, 2021
16*2021
Multi-prover proof of retrievability
MB Paterson, DR Stinson, J Upadhyay
Journal of Mathematical Cryptology 12 (4), 203-220, 2018
162018
Differentially private robust low-rank approximation
R Arora, J Upadhyay
Advances in neural information processing systems 31, 2018
152018
Differentially private analysis on graph streams
J Upadhyay, S Upadhyay, R Arora
International Conference on Artificial Intelligence and Statistics, 1171-1179, 2021
132021
A unifying framework for differentially private sums under continual observation
M Henzinger, J Upadhyay, S Upadhyay
Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024
52024
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