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03/02/2022
Finite-sample concentration of the empirical relative entropy around its mean
In this note, we show that the relative entropy of an empirical distribu...
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10/21/2021
SABMIS: Sparse approximation based blind multi-image steganography scheme
Steganography is a technique of hiding secret data in some unsuspected c...
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01/03/2021
CSIS: compressed sensing-based enhanced-embedding capacity image steganography scheme
Image steganography plays a vital role in securing secret data by embedd...
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07/09/2020
ℓ_1SABMIS: ℓ_1-minimization and sparse approximation based blind multi-image steganography scheme
Steganography plays a vital role in achieving secret data security by em...
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06/10/2020
Optimal Bounds between f-Divergences and Integral Probability Metrics
The families of f-divergences (e.g. the Kullback-Leibler divergence) and...
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06/29/2019
HTS: A Hardware Task Scheduler for Heterogeneous Systems
As the Moore's scaling era comes to an end, application specific hardwar...
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06/10/2019
Coin Theorems and the Fourier Expansion
In this note we compare two measures of the complexity of a class F of B...
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04/17/2019
Samplers and extractors for unbounded functions
Blasiok (SODA'18) recently introduced the notion of a subgaussian sample...
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04/04/2019
Concentration of the multinomial in Kullback-Leibler divergence near the ratio of alphabet and sample sizes
We bound the moment generating function of the Kullback-Leibler divergen...
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02/28/2019
Unifying computational entropies via Kullback-Leibler divergence
We introduce KL-hardness, a new notion of hardness for search problems w...
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10/16/2018
Morph: Flexible Acceleration for 3D CNN-based Video Understanding
The past several years have seen both an explosion in the use of Convolu...
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04/18/2018
UCNN: Exploiting Computational Reuse in Deep Neural Networks via Weight Repetition
Convolutional Neural Networks (CNNs) have begun to permeate all corners ...
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03/11/2018