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09/03/2023
Liquid Democracy in DPoS Blockchains
Voting mechanisms play a crucial role in decentralized governance of blo...
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06/09/2023
Cross-Consensus Measurement of Individual-level Decentralization in Blockchains
Decentralization is widely recognized as a crucial characteristic of blo...
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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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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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01/30/2021
SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform
Advancements in distributed ledger technologies are driving the rise of ...
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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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09/05/2020
NF-Crowd: Nearly-free Blockchain-based Crowdsourcing
Advancements in distributed ledger technologies are rapidly driving the ...
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12/12/2019
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning
Federated learning has emerged as a promising approach for collaborative...
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04/15/2019
CryptoNN: Training Neural Networks over Encrypted Data
Emerging neural networks based machine learning techniques such as deep ...
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02/18/2019