27 citations · 95 across the 53 of their papers we have counts for
10 papers · 1 filter
Enhancing Web Spam Detection through a Blockchain-Enabled Crowdsourcing Mechanism
Noah Kader, Inwon Kang, Oshani Seneviratne
The proliferation of spam on the Web has necessitated the development of machine learning models to automate their detection. However, the dynamic nature of spam and the sophistica…
Semantic Interoperability on Blockchain by Generating Smart Contracts Based on Knowledge Graphs
William Van Woensel, Oshani Seneviratne
Background: Health 3.0 allows decision making to be based on longitudinal data from multiple institutions, from across the patient's healthcare journey. In such a distributed setti…
Fed-RD: Privacy-Preserving Federated Learning for Financial Crime Detection
Md. Saikat Islam Khan, Aparna Gupta, Oshani Seneviratne +1
We introduce Federated Learning for Relational Data (Fed-RD), a novel privacy-preserving federated learning algorithm specifically developed for financial transaction datasets part…
Smart Contracts, Smarter Payments: Innovating Cross Border Payments and Reporting Transactions
Maruf Ahmed Mridul, Kaiyang Chang, Aparna Gupta +1
The global financial landscape is experiencing significant transformation driven by technological advancements and evolving market dynamics. Moreover, blockchain technology has bec…
The Feasibility of a Smart Contract "Kill Switch"
Oshani Seneviratne
The advent of blockchain technology and its adoption across various sectors have raised critical discussions about the need for regulatory mechanisms to ensure consumer protection,…
Support and Scandals in GameFi dApps: A Network Analysis of The Sandbox Transactions
Fernando Spadea, Oshani Seneviratne
We explore the burgeoning field of GameFi through a detailed network analysis of The Sandbox, a prominent decentralized application (dApp) in this domain. Utilizing the bow-tie mod…
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
Linh Tran, Sanjay Chari, Md. Saikat Islam Khan +3
We present the Differentially Private Blockchain-Based Vertical Federal Learning (DP-BBVFL) algorithm that provides verifiability and privacy guarantees for decentralized applicati…
Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies
Inwon Kang, William Van Woensel, Oshani Seneviratne
We explore using Large Language Models (LLMs) to generate application code that automates health insurance processes from text-based policies. We target blockchain-based smart cont…
Deciphering Crypto Twitter
Inwon Kang, Maruf Ahmed Mridul, Abraham Sanders +4
Cryptocurrency is a fast-moving space, with a continuous influx of new projects every year. However, an increasing number of incidents in the space, such as hacks and security brea…
Predicting Depression and Anxiety: A Multi-Layer Perceptron for Analyzing the Mental Health Impact of COVID-19
David Fong, Tianshu Chu, Matthew Heflin +2
We introduce a multi-layer perceptron (MLP) called the COVID-19 Depression and Anxiety Predictor (CoDAP) to predict mental health trends, particularly anxiety and depression, durin…