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08/10/2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Machine learning (ML) is increasingly being adopted in a wide variety of...
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05/18/2021
Adaptive ABAC Policy Learning: A Reinforcement Learning Approach
With rapid advances in computing systems, there is an increasing demand ...
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03/05/2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Federated learning (FL) has been proposed to allow collaborative trainin...
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02/02/2021
T3AB: Transparent and Trustworthy Third-party Authority using Blockchain
Increasingly, information systems rely on computational, storage, and ne...
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12/18/2020
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets
Training a machine learning model over an encrypted dataset is an existi...
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11/12/2020
Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions
Increasing incidents of security compromises and privacy leakage have ra...
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03/16/2020