Yi Han

21 papers B 2Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2021 — conf
Continual Learning for Fake News Detection from Social Media.
ICANN (2)
Yi Han, Shanika Karunasekera, Christopher Leckie
2021 J jnl
Knowledge Enhanced Multi-modal Fake News Detection.
CoRR
Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
2021 J jnl
Propagation2Vec: Embedding partial propagation networks for explainable fake news early detection.
Inf. Process. Manag.
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
2020 B conf
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.
IJCNN
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
2020 — conf
Embedding Partial Propagation Network for Fake News Early Detection.
CIKM (Workshops)
Amila Silva, Yi Han, Ling Luo, Shanika Karunasekera, Christopher Leckie
2020 J jnl
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media.
CoRR
Yi Han, Shanika Karunasekera, Christopher Leckie
2020 — conf
Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams.
PAKDD (1)
Yi Han, Shanika Karunasekera, Christopher Leckie
2020 J jnl
Image Analysis Enhanced Event Detection from Geo-tagged Tweet Streams.
CoRR
Yi Han, Shanika Karunasekera, Christopher Leckie
2019 J jnl
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking.
CoRR
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
2019 — conf
Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification.
IEEE BigData
Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood
2019 J jnl
Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams.
CoRR
Yi Han, Shanika Karunasekera, Christopher Leckie, Aaron Harwood
2018 — conf
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks.
AAAI Workshops
Yi Han, Benjamin I. P. Rubinstein
2018 — conf
Reinforcement Learning for Autonomous Defence in Software-Defined Networking.
GameSec
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
2018 J jnl
Reinforcement Learning for Autonomous Defence in Software-Defined Networking.
CoRR
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
2017 J jnl
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks.
CoRR
Yi Han, Benjamin I. P. Rubinstein
2017 J jnl
Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing.
IEEE Trans. Dependable Secur. Comput.
Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie
2016 J jnl
A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning.
IEEE Trans. Inf. Forensics Secur.
Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie, Benjamin I. P. Rubinstein
2015 — —
Defending against co-resident attacks in cloud computing.
Yi Han
2014 — conf
Virtual machine allocation policies against co-resident attacks in cloud computing.
ICC
Yi Han, Jeffrey Chan, Tansu Alpcan, Christopher Leckie
2013 B conf
Analysing Virtual Machine Usage in Cloud Computing.
SERVICES
Yi Han, Jeffrey Chan, Christopher Leckie
2013 — conf
Security Games for Virtual Machine Allocation in Cloud Computing.
GameSec
Yi Han, Tansu Alpcan, Jeffrey Chan, Christopher Leckie