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12/07/2022
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels
Convolutional Neural Networks (CNNs) have demonstrated superiority in le...
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10/10/2021
Enhancing Utility in the Watchdog Privacy Mechanism
This paper is concerned with enhancing data utility in the privacy watch...
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03/25/2021
Realistic Differentially-Private Transmission Power Flow Data Release
For the modeling, design and planning of future energy transmission netw...
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10/19/2020
On Properties and Optimization of Information-theoretic Privacy Watchdog
We study the problem of privacy preservation in data sharing, where S is...
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01/19/2020
Privacy-Utility Tradeoff in a Guessing Framework Inspired by Index Coding
This paper studies the tradeoff in privacy and utility in a single-trial...
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12/26/2019
Part II: A Practical Approach for Successive Omniscience
In Part I, we studied the communication for omniscience (CO) problem and...
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12/26/2019
Part I: Improving Computational Efficiency of Communication for Omniscience
Communication for omniscience (CO) refers to the problem where the users...
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03/03/2019
Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience
For a group of users in V where everyone observes a component of a discr...
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02/11/2019
Attaining Fairness in Communication for Omniscience
This paper studies how to attain fairness in communication for omniscien...
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02/04/2019
Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula
We propose a generic mechanism to efficiently release differentially pri...
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05/04/2018
Fairness in Multiterminal Data Compression: A Splitting Method for The Egalitarian Solution
This paper proposes a novel splitting (SPLIT) algorithm to achieve fairn...
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04/05/2018
Fairness in Multiterminal Data Compression: Decomposition of Shapley Value
We consider the problem of how to determine a fair source coding rate al...
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04/05/2018
