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Trustworthy AI: From principles to practices
The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …
of various systems based on it. However, many current AI systems are found vulnerable to …
Differential privacy for industrial internet of things: Opportunities, applications, and challenges
The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
Towards automated log parsing for large-scale log data analysis
Logs are widely used in system management for dependability assurance because they are
often the only data available that record detailed system runtime behaviors in production …
often the only data available that record detailed system runtime behaviors in production …
Private spatial data aggregation in the local setting
With the deep penetration of the Internet and mobile devices, privacy preservation in the
local setting has become increasingly relevant. The local setting refers to the scenario where …
local setting has become increasingly relevant. The local setting refers to the scenario where …
Online evaluation for information retrieval
Online evaluation is one of the most common approaches to measure the effectiveness of an
information retrieval system. It involves fielding the information retrieval system to real users …
information retrieval system. It involves fielding the information retrieval system to real users …
Differential privacy preserving of training model in wireless big data with edge computing
With the popularity of smart devices and the widespread use of machine learning methods,
smart edges have become the mainstream of dealing with wireless big data. When smart …
smart edges have become the mainstream of dealing with wireless big data. When smart …
[KNYGA][B] Differential privacy and applications
Corporations, organizations, and governments have collected, digitized, and stored
information in digital forms since the invention of computers, and the speed of such data …
information in digital forms since the invention of computers, and the speed of such data …
Technical report: Big data-concepts, infrastructure, analytics, challenges and solutions
K Kuru - 2024 - clok.uclan.ac.uk
Industry 5.0 is emerging while swarms of Cyber-Physical Systems (CPSs) are being
integrated with other swarms of CPSs and humans to work co-actively in collaborative and …
integrated with other swarms of CPSs and humans to work co-actively in collaborative and …
Management of geo-distributed intelligence: Deep insight as a service (DINSaaS) on forged cloud platforms (FCP)
K Kuru - Journal of Parallel and Distributed Computing, 2021 - Elsevier
The recent advances in the cyber–physical domains, cloud and edge platforms along with
the advanced communication technologies play a crucial role in connecting the globe more …
the advanced communication technologies play a crucial role in connecting the globe more …
Atlas: Gan-based differentially private multi-party data sharing
In this article, we study the problem of differentially private multi-party data sharing, where
the involved parties assisted by a semi-honest curator collectively generate a shared dataset …
the involved parties assisted by a semi-honest curator collectively generate a shared dataset …