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06/06/2023
OptimShare: A Unified Framework for Privacy Preserving Data Sharing – Towards the Practical Utility of Data with Privacy
Tabular data sharing serves as a common method for data exchange. Howeve...
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02/18/2022
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches
Biometric data, such as face images, are often associated with sensitive...
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02/12/2022
Local Differential Privacy for Federated Learning in Industrial Settings
Federated learning (FL) is a collaborative learning approach that has ga...
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11/25/2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning
In the distributed collaborative machine learning (DCML) paradigm, feder...
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05/21/2020
Privacy Preserving Face Recognition Utilizing Differential Privacy
Facial recognition technologies are implemented in many areas, including...
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04/25/2020
Privacy Preserving Distributed Machine Learning with Federated Learning
Edge computing and distributed machine learning have advanced to a level...
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04/25/2020
SplitFed: When Federated Learning Meets Split Learning
Federated learning (FL) and split learning (SL) are two recent distribut...
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08/08/2019
Local Differential Privacy for Deep Learning
Deep learning (DL) is a promising area of machine learning which is beco...
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07/31/2019
An Efficient and Scalable Privacy Preserving Algorithm for Big Data and Data Streams
A vast amount of valuable data is produced and is becoming available for...
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06/19/2019
Efficient privacy preservation of big data for accurate data mining
Computing technologies pervade physical spaces and human lives, and prod...
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06/15/2018
Efficient Data Perturbation for Privacy Preserving and Accurate Data Stream Mining
The widespread use of the Internet of Things (IoT) has raised many conce...
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12/24/2014
