15 citations · 24 across the 15 of their papers we have counts for
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cs.DS2014★ 15 cited
Randomness Efficient Fast-Johnson-Lindenstrauss Transform with Applications in Differential Privacy and Compressed Sensing
Jalaj Upadhyay
The Johnson-Lindenstrauss property ({\sf JLP}) of random matrices has immense application in computer science ranging from compressed sensing, learning theory, numerical linear alg…
cs.DS2014
Differentially Private Linear Algebra in the Streaming Model
Jalaj Upadhyay
Numerical linear algebra plays an important role in computer science. In this paper, we initiate the study of performing linear algebraic tasks while preserving privacy when the da…