165 citations · 259 across the 17 of their papers we have counts for
17 papers
VCTP: A Verifiable Credential-based Trust Propagation Protocol for Personal Issuers in Self-Sovereign Identity Platforms
Rahma Mukta, Rue C. Teh, Hye-young Paik +2
Self Sovereign Identity (SSI) is an emerging identity system that facilitates secure credential issuance and verification without placing trust in any centralised authority. To byp…
Decentralised Governance-Driven Architecture for Designing Foundation Model based Systems: Exploring the Role of Blockchain in Responsible AI
Yue Liu, Qinghua Lu, Liming Zhu +1
Foundation models including large language models (LLMs) are increasingly attracting interest worldwide for their distinguished capabilities and potential to perform a wide variety…
BGRA: A Reference Architecture for Blockchain Governance
Yue Liu, Qinghua Lu, Guangsheng Yu +2
Blockchain technology has been integrated into diverse software applications by enabling a decentralised architecture design. However, the defects of on-chain algorithmic mechanism…
Profiler: Profile-Based Model to Detect Phishing Emails
Mariya Shmalko, Alsharif Abuadbba, Raj Gaire +3
Email phishing has become more prevalent and grows more sophisticated over time. To combat this rise, many machine learning (ML) algorithms for detecting phishing emails have been…
Decision Models for Selecting Federated Learning Architecture Patterns
Sin Kit Lo, Qinghua Lu, Hye-Young Paik +1
Federated machine learning is growing fast in academia and industries as a solution to solve data hungriness and privacy issues in machine learning. Being a widely distributed syst…
A Pattern Language for Blockchain Governance
Yue Liu, Qinghua Lu, Guangsheng Yu +3
Blockchain technology has been used to build next-generation applications taking advantage of its decentralised nature. Nevertheless, there are some serious concerns about the trus…
Defining Blockchain Governance Principles: A Comprehensive Framework
Yue Liu, Qinghua Lu, Guangsheng Yu +2
Blockchain eliminates the need for trusted third-party intermediaries in business by enabling decentralised architecture design in software applications. However, the vulnerabiliti…
Global Convolutional Neural Processes
Xuesong Wang, Lina Yao, Xianzhi Wang +2
The ability to deal with uncertainty in machine learning models has become equally, if not more, crucial to their predictive ability itself. For instance, during the pandemic, gove…
Blockchain-based Trustworthy Federated Learning Architecture
Sin Kit Lo, Yue Liu, Qinghua Lu +4
Federated learning is an emerging privacy-preserving AI technique where clients (i.e., organisations or devices) train models locally and formulate a global model based on the loca…
FLRA: A Reference Architecture for Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Hye-Young Paik +1
Federated learning is an emerging machine learning paradigm that enables multiple devices to train models locally and formulate a global model, without sharing the clients' local d…
A Systematic Literature Review on Blockchain Governance
Yue Liu, Qinghua Lu, Liming Zhu +2
Blockchain has been increasingly used as a software component to enable decentralisation in software architecture for a variety of applications. Blockchain governance has received…
Simeon -- Secure Federated Machine Learning Through Iterative Filtering
Nicholas Malecki, Hye-young Paik, Aleksandar Ignjatovic +2
Federated learning enables a global machine learning model to be trained collaboratively by distributed, mutually non-trusting learning agents who desire to maintain the privacy of…
Architectural Patterns for the Design of Federated Learning Systems
Sin Kit Lo, Qinghua Lu, Liming Zhu +3
Federated learning has received fast-growing interests from academia and industry to tackle the challenges of data hungriness and privacy in machine learning. A federated learning…
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo, Qinghua Lu, Chen Wang +2
Federated learning is an emerging machine learning paradigm where clients train models locally and formulate a global model based on the local model updates. To identify the state-…
Design Patterns for Blockchain-based Self-Sovereign Identity
Yue Liu, Qinghua Lu, Hye-Young Paik +1
Self-sovereign identity is a new identity management paradigm that allows entities to really have the ownership of their identity data and control their use without involving any i…
Design-Pattern-as-a-Service for Blockchain-based Self-Sovereign Identity
Yue Liu, Qinghua Lu, Hye-Young Paik +3
Self-sovereign identity (SSI) is considered to be a "killer application" of blockchain. However, there is a lack of systematic architecture designs for blockchain-based SSI systems…
Integrating and querying similar tables from PDF documents using deep learning
Rahul Anand, Hye-Young Paik, Cheng Wang
Large amount of public data produced by enterprises are in semi-structured PDF form. Tabular data extraction from reports and other published data in PDF format is of interest for…