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06/08/2023
Ownership Protection of Generative Adversarial Networks
Generative adversarial networks (GANs) have shown remarkable success in ...
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06/08/2023
PriSampler: Mitigating Property Inference of Diffusion Models
Diffusion models have been remarkably successful in data synthesis. Such...
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01/24/2023
Membership Inference of Diffusion Models
Recent years have witnessed the tremendous success of diffusion models i...
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06/27/2022
"Double vaccinated, 5G boosted!": Learning Attitudes towards COVID-19 Vaccination from Social Media
To address the vaccine hesitancy which impairs the efforts of the COVID-...
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06/27/2022
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter
Vaccine hesitancy is considered as one main cause of the stagnant uptake...
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05/19/2022
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation
Graph Neural Networks (GNNs) have been predominant for graph learning ta...
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03/21/2022
Unsupervised Heterophilous Network Embedding via r-Ego Network Discrimination
Recently, supervised network embedding (NE) has emerged as a predominant...
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04/09/2021
The Burden of Being a Bridge: Understanding the Role of Multilingual Users during the COVID-19 Pandemic
The outbreak of the COVID-19 pandemic triggers infodemic over online soc...
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01/06/2021
Model Extraction and Defenses on Generative Adversarial Networks
Model extraction attacks aim to duplicate a machine learning model throu...
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12/13/2020
From #Jobsearch to #Mask: Improving COVID-19 Cascade Prediction with Spillover Effects
As the pandemic of social media panic spreads faster than the COVID-19 o...
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11/05/2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
Over the last century, we observe a steady and exponentially growth of s...
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10/26/2020
Reinforcement Learning Enhanced Heterogeneous Graph Neural Network
Heterogeneous Information Networks (HINs), involving a diversity of node...
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10/01/2020
Adaptive Multi-grained Graph Neural Networks
Graph Neural Networks (GNNs) have been increasingly deployed in a multit...
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09/08/2020
Hierarchical Message-Passing Graph Neural Networks
Graph Neural Networks (GNNs) have become a promising approach to machine...
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08/12/2020
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region
The outbreak of the Coronavirus disease (COVID-19) leads to an outbreak ...
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07/09/2019
Characterising Probabilistic Alternating Simulation for Concurrent Games
Probabilistic game structures combine both nondeterminism and stochastic...
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08/25/2018
Formal Analysis of an E-Health Protocol
Given the sensitive nature of health data, security and privacy in e-hea...
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02/12/2018