LAUSR

Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems

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0 Published in 2021 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2020.3016835

Abstract: Each agent in a network makes a local observation that is linearly related to a set of public and private parameters. The agents send their observations to a fusion center to allow it to estimate… read more here.

Keywords: strong utility; arbitrarily strong; utility privacy; privacy tradeoff ... See more keywords

Data capture, analysis, utility and privacy and a COVID legacy

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1 Published in 2022 at "International Wound Journal"

DOI: 10.1111/iwj.13776

Abstract: Our regular readers will be familiar with the concept of the importance of data in the evolution of a wound care specialty. It has been the subject of many editorials and publications with the International… read more here.

Keywords: data capture; utility privacy; privacy; analysis ... See more keywords

Dataset Comparison Tool: Utility and Privacy

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0 Published in 2022 at "Studies in health technology and informatics"

DOI: 10.3233/shti220389

Abstract: Synthetic data has been more and more used in the last few years. While its applications are various, measuring its utility and privacy is seldom an easy task. Since there are different methods of evaluating… read more here.

Keywords: tool utility; utility privacy; comparison tool; dataset comparison ... See more keywords

Utility–Privacy Trade-Off in Distributed Machine Learning Systems

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1 Published in 2022 at "Entropy"

DOI: 10.3390/e24091299

Abstract: In distributed machine learning (DML), though clients’ data are not directly transmitted to the server for model training, attackers can obtain the sensitive information of clients by analyzing the local gradient parameters uploaded by clients.… read more here.

Keywords: distributed machine; privacy trade; utility privacy; machine learning ... See more keywords