Ni Ding

Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering

Ni Ding, Farhad Farokhi

Journal article  |  2020  |  IEEE Transactions on Information Forensics and Security

We consider a non-stochastic privacy-preserving problem in which an adversary aims to infer sensitive information S from publicly ..

Privacy-Utility Tradeoff in a Guessing Framework Inspired by Index Coding

Yucheng Liu, Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo

Conference Proceedings  |  2020  |  IEEE International Symposium on Information Theory (ISIT)

Privacy Measure Against Non-stochastic Brute-Force Guessing

Farhad Farokhi, Ni Ding

Conference Proceedings  |  2020  |  IEEE Information Theory Workshop (ITW)

On Properties and Optimization of Information-theoretic Privacy Watchdog

Parastoo Sadeghi, Ni Ding, Thierry Rakotoarivelo

Conference Proceedings  |  2020  |  IEEE Information Theory Workshop (ITW)

Evolutionary Games for Correlation-Aware Clustering in Massive Machine-to-Machine Networks

Nicole Sawyer, Mehdi Naderi Soorki, Walid Saad, David B Smith, Ni Ding

Journal article  |  2019  |  IEEE Transactions on Communications

In this paper, the problem of self-organizing, correlation-aware clustering is studied for a dense network of machine-type devices..

A Submodularity-based Clustering Algorithm for the Information Bottleneck and Privacy Funnel

Ni Ding, Parastoo Sadeghi

Conference Proceedings  |  2019  |  2019 IEEE Information Theory Workshop (ITW)

For the relevant data S that nests in the observation X, the information bottleneck (IB) aims to encode X into X̂ in X, with order..

Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience

Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo

Conference Proceedings  |  2018  |  2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Distributed Data Compression in Sensor Clusters: A Maximum Independent Flow Approach

Ni Ding, Parastoo Sadeghi, David Smith, Thierry Rakotoarivelo

Conference Proceedings  |  2018  |  2018 IEEE International Symposium on Information Theory (ISIT)

Fairness in Multiterminal Data Compression: Decomposition of Shapley Value

Ni Ding, David Smith, Thierry Rakotoarivelo, Parastoo Sadeghi

Conference Proceedings  |  2018  |  2018 IEEE International Symposium on Information Theory (ISIT)

Fairness in Multiterminal Data Compression: A Splitting Method for the Egalitarian Solution

Ni Ding, David Smith, Parastoo Sadeghi, Thierry Rakotoarivelo

Conference Proceedings  |  2018  |  2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)