Jalaj Upadhyay

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Key Exchange Protocol Using Encryption Scheme Provably Secure Against CCA

Jalaj Upadhyay, 2008 .

Constant matters: Fine-grained Complexity of Differentially Private Continual Observation Using Completely Bounded Norms

M. Henzinger, Jalaj Upadhyay, 2022, IACR Cryptol. ePrint Arch..

A coding theory foundation for

Douglas R. Stinson, Maura B. Paterson, Jalaj Upadhyay, 2012 .

Near Optimal Linear Algebra in the Online and Sliding Window Models

David P. Woodruff, Cameron Musco, V. Braverman, 2018, 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS).

Near Optimal Linear Algebra in the Online and Sliding Window Models

David P. Woodruff, Cameron Musco, V. Braverman, 2018, 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS).

On the complexity of the herding attack and some related attacks on hash functions

Douglas R Stinson, S. Blackburn, D. Stinson, 2011, Designs, Codes and Cryptography.

Constant matters: Fine-grained Complexity of Differentially Private Continual Observation Using Completely Bounded Norms

M. Henzinger, Jalaj Upadhyay, 2022, IACR Cryptol. ePrint Arch..

Constant matters: Fine-grained Complexity of Differentially Private Continual Observation Using Completely Bounded Norms

M. Henzinger, Jalaj Upadhyay, 2022, IACR Cryptol. ePrint Arch..

Sublinear Space Private Algorithms Under the Sliding Window Model

Jalaj Upadhyay, Jalaj Upadhyay, 2019, ICML.

Differentially Private Analysis on Graph Streams

Raman Arora, Jalaj Upadhyay, Sarvagya Upadhyay, 2021, AISTATS.

Differentially Private Linear Algebra in the Streaming Model pdf

Jalaj Upadhyay, Jalaj Upadhyay, 2014, IACR Cryptol. ePrint Arch..

A coding theory foundation for the analysis of general unconditionally secure proof-of-retrievability schemes for cloud storage

Douglas R. Stinson, Maura B. Paterson, Jalaj Upadhyay, 2012, J. Math. Cryptol..

Random Projections, Graph Sparsification, and Differential Privacy

Jalaj Upadhyay, Jalaj Upadhyay, 2013, ASIACRYPT.

A Framework for Private Matrix Analysis in Sliding Window Model

Jalaj Upadhyay, Sarvagya Upadhyay, Sarvagya Upadhyay, 2021, ICML.

On Differentially Private Graph Sparsification and Applications

Raman Arora, Jalaj Upadhyay, R. Arora, 2019, NeurIPS.

Near Optimal Linear Algebra in the Online and Sliding Window Models

David P. Woodruff, Cameron Musco, V. Braverman, 2018, 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS).

Multi-prover proof of retrievability

Douglas R. Stinson, Maura B. Paterson, Jalaj Upadhyay, 2016, IACR Cryptol. ePrint Arch..

Langevin Diffusion: An Almost Universal Algorithm for Private Euclidean (Convex) Optimization

Abhradeep Thakurta, Jalaj Upadhyay, Arun Ganesh, 2022, ArXiv.

Almost Tight Error Bounds on Differentially Private Continual Counting

M. Henzinger, Sarvagya Upadhyay, Jalaj Upadhyay, 2022, SODA.

Is Interaction Necessary for Distributed Private Learning?

Adam D. Smith, Abhradeep Thakurta, Jalaj Upadhyay, 2017, 2017 IEEE Symposium on Security and Privacy (SP).

Constant matters: Fine-grained Complexity of Differentially Private Continual Observation Using Completely Bounded Norms

M. Henzinger, Jalaj Upadhyay, 2022, IACR Cryptol. ePrint Arch..

The Price of Privacy for Low-rank Factorization

Jalaj Upadhyay, Jalaj Upadhyay, 2018, NeurIPS.

Integrity and Privacy of Large Data

Jalaj Upadhyay, Jalaj Upadhyay, 2015 .

Randomness Efficient Fast-Johnson-Lindenstrauss Transform with Applications in Differential Privacy and Compressed Sensing

Jalaj Upadhyay, Jalaj Upadhyay, 2014, 1410.2470.

A Framework for Private Matrix Analysis pdf

Jalaj Upadhyay, Sarvagya Upadhyay, Sarvagya Upadhyay, 2020, ArXiv.

Numerical Linear Algebra in the Sliding Window Model

David P. Woodruff, Vladimir Braverman, Petros Drineas, 2018 .

The Price of Differential Privacy for Low-Rank Factorization

Jalaj Upadhyay, Jalaj Upadhyay, 2016 .

Fast and Space-optimal Low-rank Factorization in the Streaming Model With Application in Differential Privacy pdf

Jalaj Upadhyay, Jalaj Upadhyay, 2016, ArXiv.

Circulant Matrices and Differential Privacy

Jalaj Upadhyay, Jalaj Upadhyay, 2014, IACR Cryptol. ePrint Arch..

Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization

Abhradeep Thakurta, Jalaj Upadhyay, Arun Ganesh, 2022, 2204.01585.

A Unifying Framework for Differentially Private Sums under Continual Observation

M. Henzinger, Sarvagya Upadhyay, Jalaj Upadhyay, 2023, SODA.

Generic Attacks on Hash Functions

Jalaj Kumar Upadhyay, Jalaj Upadhyay, 2010 .

On the complexity of the herding attack and some related attacks on hash functions

Douglas R. Stinson, Simon R. Blackburn, Jalaj Upadhyay, 2012, Des. Codes Cryptogr..

Block-wise Non-Malleable Codes

Vipul Goyal, Pratyay Mukherjee, Jalaj Upadhyay, 2016, IACR Cryptol. ePrint Arch..

Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization

Abhradeep Thakurta, Jalaj Upadhyay, Arun Ganesh, 2022, 2204.01585.

Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets

Abhradeep Thakurta, Jalaj Upadhyay, Arun Ganesh, 2023, COLT.

On Low-Space Differentially Private Low-rank Factorization in the Spectral Norm pdf

Jalaj Upadhyay, Jalaj Upadhyay, 2016, ArXiv.