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07/26/2023
Online Context-aware Data Release with Sequence Information Privacy
Publishing streaming data in a privacy-preserving manner has been a key ...
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06/28/2023
Learning Fair Classifiers via Min-Max F-divergence Regularization
As machine learning (ML) based systems are adopted in domains such as la...
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05/17/2023
Generalization Bounds for Neural Belief Propagation Decoders
Machine learning based approaches are being increasingly used for design...
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02/03/2022
Answering Count Queries for Genomic Data with Perfect Privacy
In this paper, we consider the problem of answering count queries for ge...
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01/31/2022
Differentially Private Community Detection for Stochastic Block Models
The goal of community detection over graphs is to recover underlying lab...
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01/27/2022
Unsupervised Change Detection using DRE-CUSUM
This paper presents DRE-CUSUM, an unsupervised density-ratio estimation ...
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07/30/2021
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
Most of our lives are conducted in the cyberspace. The human notion of p...
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05/10/2021
FAID Diversity via Neural Networks
Decoder diversity is a powerful error correction framework in which a co...
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03/02/2021
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation
In this paper, we study the problem of federated learning over a wireles...
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10/27/2020
Topological Interference Management with Confidential Messages
The topological interference management (TIM) problem refers to the stud...
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08/15/2020
Adversarial Filters for Secure Modulation Classification
Modulation Classification (MC) refers to the problem of classifying the ...
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06/04/2020
Asymmetric Leaky Private Information Retrieval
Information-theoretic formulations of the private information retrieval ...
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02/12/2020
Wireless Federated Learning with Local Differential Privacy
In this paper, we study the problem of federated learning (FL) over a wi...
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01/23/2020
Communication Efficient Federated Learning over Multiple Access Channels
In this work, we study the problem of federated learning (FL), where dis...
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01/16/2020
Latent-variable Private Information Retrieval
In many applications, content accessed by users (movies, videos, news ar...
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01/08/2020
Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation
In this paper, we study local information privacy (LIP), and design LIP ...
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12/19/2019
Cache-Aided Content Delivery in Fog-RAN Systems with Topological Information and no CSI
In this work, we consider a Fog Radio Access Network (F-RAN) system with...
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06/25/2019
On the Upload versus Download Cost for Secure and Private Matrix Multiplication
In this paper, we study the problem of secure and private distributed ma...
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05/16/2019
Random Sampling for Distributed Coded Matrix Multiplication
Matrix multiplication is a fundamental building block for large scale co...
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06/01/2018
On the Capacity of Secure Distributed Matrix Multiplication
Matrix multiplication is one of the key operations in various engineerin...
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05/10/2018
The Capacity of Private Information Retrieval from Uncoded Storage Constrained Databases
Private information retrieval (PIR) allows a user to retrieve a desired ...
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04/06/2018
Context-aware Data Aggregation with Localized Information Privacy
In this paper, localized information privacy (LIP) is proposed, as a new...
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01/10/2018
On the Secure Degrees of Freedom of the K-user Interference Channel with Delayed CSIT
In this paper, the K-user interference channel with confidential message...
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01/05/2018
Near Optimal Coded Data Shuffling for Distributed Learning
Data shuffling between distributed cluster of nodes is one of the critic...
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11/28/2017
Online Edge Caching and Wireless Delivery in Fog-Aided Networks with Dynamic Content Popularity
Fog Radio Access Network (F-RAN) architectures can leverage both cloud p...
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11/22/2017
Combating Computational Heterogeneity in Large-Scale Distributed Computing via Work Exchange
Owing to data-intensive large-scale applications, distributed computatio...
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11/14/2017
Private Information Retrieval from Storage Constrained Databases -- Coded Caching meets PIR
Private information retrieval (PIR) allows a user to retrieve a desired ...
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03/31/2016
