Gillian Dobbie

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 90

Top Venues

CoRR

IJCNN

Australasian Conference on Artificial Intelligence

ICDM

Publications

Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. AAMAS (2024)
Bowen Chen, Gillian Dobbie, Neelesh Rampal, Yun Sing Koh
Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand. WWW (2024)
Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger
Symmetric Self-Paced Learning for Domain Generalization. AAAI (2024)
Yifeng Ma, Gillian Dobbie, Nalin Asanka Gamagedara Arachchilage
Combating Phishing in the Age of Fake News: A Novel Approach with Text-to-Text Transfer Transformer. SCID@AsiaCCS (2024)
Gaël Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie
Can Large Language Models Learn Independent Causal Mechanisms? CoRR (2024)
Vithya Yogarajan, Gillian Dobbie, Henry Gouk
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. Tiny Papers @ ICLR (2023)
Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker
Targeted Attacks on Time Series Forecasting. PAKDD (4) (2023)
Xinglong Chang, Gillian Dobbie, Jörg Wicker
Fast Adversarial Label-Flipping Attack on Tabular Data. CoRR (2023)
Gaël Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie
Large Language Models Are Not Abstract Reasoners. CoRR (2023)
Gaël Gendron, Michael Witbrock, Gillian Dobbie
A Survey of Methods, Challenges and Perspectives in Causality. CoRR (2023)
Gaël Gendron, Michael Witbrock, Gillian Dobbie
Disentanglement of Latent Representations via Sparse Causal Interventions. CoRR (2023)
Wernsen Wong, Yun Sing Koh, Gillian Dobbie
Using Flexible Memories to Reduce Catastrophic Forgetting. PAKDD (2) (2023)
Kobe Knowles, Joshua Bensemann, Diana Benavides-Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
Neuromodulation Gated Transformer. CoRR (2023)
Vithya Yogarajan, Gillian Dobbie, Henry Gouk
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis. CoRR (2023)
Gaël Gendron, Yang Chen, Mitchell Rogers, Yiping Liu, Mihailo Azhar, Shahrokh Heidari, David Arturo Soriano Valdez, Kobe Knowles, Padriac O'Leary, Simon Eyre, Michael Witbrock, Gillian Dobbie, Jiamou Liu, Patrice Delmas
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. CoRR (2023)
Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, David Reith
Developing a Fair AI-based Healthcare Framework with Feedback Loop. KDH@IJCAI (2023)
Kobe Knowles, Joshua Bensemann, Diana Benavides Prado, Vithya Yogarajan, Michael Witbrock, Gillian Dobbie, Yang Chen
Neuromodulation Gated Transformer. Tiny Papers @ ICLR (2023)
Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society. CoRR (2023)
Jingrui Zhang, Ninh D. Pham, Gillian Dobbie
A Transductive Forest for Anomaly Detection with Few Labels. ECML/PKDD (1) (2023)
Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. CoRR (2023)
Sihem Amer-Yahia, Divyakant Agrawal, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Renata Borovica-Gajic, Jesús Camacho-Rodríguez, Barbara Catania, Panos K. Chrysanthis, Carlo Curino, Jérôme Darmont, Gillian Dobbie, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Sujaya Maiyya, Alexandra Meliou, Madhulika Mohanty, Behrooz Omidvar-Tehrani, Fatma Özcan, Liat Peterfreund, Wenny Rahayu, Shazia Sadiq, Sana Sellami, Utku Sirin, Wang-Chiew Tan, Bhavani Thuraisingham, Yuanyuan Tian, Pinar Tözün, Genoveva Vargas-Solar, Neeraja J. Yadwadkar, Victor Zakhary, Meihui Zhang
Diversity, Equity and Inclusion Activities in Database Conferences: A 2022 Report. SIGMOD Rec. 52 (2) (2023)
Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. CoRR (2023)
Hongsheng Hu, Gillian Dobbie, Zoran Salcic, Meng Liu, Jianbing Zhang, Lingjuan Lyu, Xuyun Zhang
Differentially private locality sensitive hashing based federated recommender system. Concurr. Comput. Pract. Exp. 35 (14) (2023)
Andrew Meads, Yu-Cheng Tu, Gillian Dobbie
Moving a Bootcamp-Style Computer Science Programme Online: An Experience Report. SIGCSE (1) (2023)
Vithya Yogarajan, Gillian Dobbie, Te Taka Keegan, Rostam J. Neuwirth
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies. CoRR (2023)
Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) (2023)
Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles
Challenges in Annotating Datasets to Quantify Bias in Under-represented Society. ETHAICS@IJCAI (2023)
Cheng-Hao Cai, Jing Sun, Gillian Dobbie
Automatic refactoring of conditions and substitutions for B state transition models. Softw. Pract. Exp. 53 (11) (2023)
Gaël Gendron, Michael Witbrock, Gillian Dobbie
Disentanglement of Latent Representations via Causal Interventions. IJCAI (2023)
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang
Membership Inference via Backdooring. CoRR (2022)
Bowen Chen, Yun Sing Koh, Gillian Dobbie, Ocean Wu, Guy Coulson, Gustavo Olivares
Online Air Pollution Inference using Concept Recurrence and Transfer Learning. DSAA (2022)
Cheng-Hao Cai, Jing Sun, Gillian Dobbie, Zhé Hóu, Hadrien Bride, Jin Song Dong, Scott Uk-Jin Lee
Fast Automated Abstract Machine Repair Using Simultaneous Modifications and Refactoring. Formal Aspects Comput. 34 (2) (2022)
Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Philip S. Yu, Xuyun Zhang
Membership Inference Attacks on Machine Learning: A Survey. ACM Comput. Surv. 54 (11s) (2022)
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang
Membership Inference via Backdooring. IJCAI (2022)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Cost-Effective Transfer Learning for Data Streams. ICDM (2022)
Vithya Yogarajan, Gillian Dobbie, Sharon Leitch, Te Taka Keegan, Joshua Bensemann, Michael Witbrock, Varsha Asrani, David Reith
Data and model bias in artificial intelligence for healthcare applications in New Zealand. Frontiers Comput. Sci. 4 (2022)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Probabilistic exact adaptive random forest for recurrent concepts in data streams. Int. J. Data Sci. Anal. 13 (1) (2022)
Cheng-Hao Cai, Jing Sun, Gillian Dobbie
B model quality assessments on automated reachability repair with ISO/IEC 25010. Sci. Comput. Program. 214 (2022)
Thomas Lacombe, Yun Sing Koh, Gillian Dobbie, Ocean Wu
A Meta-Learning Approach for Automated Hyperparameter Tuning in Evolving Data Streams. IJCNN (2021)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Nacre: Proactive Recurrent Concept Drift Detection in Data Streams. IJCNN (2021)
Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang
Source Inference Attacks in Federated Learning. ICDM (2021)
Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang
Source Inference Attacks in Federated Learning. CoRR (2021)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
Transfer Learning with Adaptive Online TrAdaBoost for Data Streams. ACML (2021)
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Yi Chen, Xuyun Zhang
EAR: An Enhanced Adversarial Regularization Approach against Membership Inference Attacks. IJCNN (2021)
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Xuyun Zhang
Membership Inference Attacks on Machine Learning: A Survey. CoRR (2021)
Chenghao Cai, Jing Sun, Gillian Dobbie
Measuring the Quality of B Abstract Machines with ISO/IEC 25010. TASE (2020)
Sijie Zhuo, Lucas Sherlock, Gillian Dobbie, Yun Sing Koh, Giovanni Russello, Danielle M. Lottridge
Real-time Smartphone Activity Classification Using Inertial Sensors - Recognition of Scrolling, Typing, and Watching Videos While Sitting or Walking. Sensors 20 (3) (2020)
Hongsheng Hu, Gillian Dobbie, Zoran Salcic, Meng Liu, Jianbing Zhang, Xuyun Zhang
A Locality Sensitive Hashing Based Approach for Federated Recommender System. CCGRID (2020)
Wernsen Wong, Gillian Dobbie
Pelican: Continual Adaptation for Phishing Detection. ICDM (Workshops) (2020)
Hamish Huggard, Yun Sing Koh, Gillian Dobbie, Edmond Zhang
Detecting Concept Drift In Medical Triage. SIGIR (2020)
Shuxiang Zhang, David Tse Jung Huang, Gillian Dobbie, Yun Sing Koh
SLED: Semi-supervised Locally-weighted Ensemble Detector. ICDE (2020)
Chenghao Cai, Jing Sun, Gillian Dobbie
Measuring the Quality of B Abstract Machines with ISO/IEC 25010. CoRR (2020)
Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. PAKDD (2) (2020)
Robert Anderson, Yun Sing Koh, Gillian Dobbie
Classifying Imbalanced Road Accident Data Using Recurring Concept Drift. AusDM (2019)
Wernsen Wong, Yun Sing Koh, Gillian Dobbie
Using Transfer Learning to Detect Phishing in Countries with a Small Population. AusDM (2019)
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
Nodes in Social Networks: A Survey. ACM Comput. Surv. 52 (1) (2019)
Chenghao Cai, Jing Sun, Gillian Dobbie
Automatic B-model repair using model checking and machine learning. Autom. Softw. Eng. 26 (3) (2019)
Danah Algawiaz, Gillian Dobbie, Shafiq Alam
PRARS: Risk Assessment Model for Recommender Systems. SoMeT (2019)
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
Recurring Concept Meta-learning for Evolving Data Streams. CoRR (2019)
Danah Algawiaz, Gillian Dobbie, Shafiq Alam
Predicting a User's Purchase Intention Using AdaBoost. ISKE (2019)
Chenghao Cai, Jing Sun, Gillian Dobbie
Design Model Repair with Formal Verification. ICFEM (2019)
Chenghao Cai, Jing Sun, Gillian Dobbie, Scott Uk-Jin Lee
Achieving Abstract Machine Reachability with Learning-Based Model Fulfilment. APSEC (2019)
Robert Anderson, Yun Sing Koh, Gillian Dobbie, Albert Bifet
Recurring concept meta-learning for evolving data streams. Expert Syst. Appl. 138 (2019)
Ian Shane Wong, Gillian Dobbie, Yun Sing Koh
Items2Data: Generating Synthetic Boolean Datasets from Itemsets. ADC (2019)
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
Network Embedding and Change Modeling in Dynamic Heterogeneous Networks. SIGIR (2019)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Interpreting Intermittent Bugs in Mozilla Applications Using Change Angle. AusDM (2018)
Yun Sing Koh, David Tse Jung Huang, Chris Pearce, Gillian Dobbie
Volatility Drift Prediction for Transactional Data Streams. ICDM (2018)
Yu-Cheng Tu, Gillian Dobbie, Ian Warren, Andrew Meads, Cameron Grout
An Experience Report on a Boot-Camp Style Programming Course. SIGCSE (2018)
Robert Anderson, Yun Sing Koh, Gillian Dobbie
Lift-Per-Drift: An Evaluation Metric for Classification Frameworks with Concept Drift Detection. Australasian Conference on Artificial Intelligence (2018)
Ranran Bian, Yun Sing Koh, Gillian Dobbie, Anna Divoli
OHC: Uncovering Overlapping Heterogeneous Communities. Australasian Conference on Artificial Intelligence (2018)
Chenghao Cai, Jing Sun, Gillian Dobbie
B-Repair: Repairing B-Models Using Machine Learning. ICECCS (2018)
Jiazhen Chen, Gillian Dobbie, Yun Sing Koh, Elizabeth Somervell, Gustavo Olivares
Vehicle emission prediction using remote sensing data and machine learning techniques. SAC (2018)
Qiao Gao, Mong-Li Lee, Tok Wang Ling, Gillian Dobbie, Zhong Zeng
Analyzing Temporal Keyword Queries for Interactive Search over Temporal Databases. DEXA (1) (2018)
Qiao Gao, Mong-Li Lee, Gillian Dobbie, Zhong Zeng
A Semantic Framework for Designing Temporal SQL Databases. ER (2018)
Robert Anderson, Yun Sing Koh, Gillian Dobbie
Predicting Concept Drift in Data Streams Using Metadata Clustering. IJCNN (2018)
Ruolin Jia, Yun Sing Koh, Gillian Dobbie
Volatility Adaptive Classifier System. PAKDD (1) (2017)
Xiaogang Shi, Bin Cui, Gillian Dobbie, Beng Chin Ooi
UniAD: A Unified Ad Hoc Data Processing System. ACM Trans. Database Syst. 42 (1) (2017)
Anmol Desai, Nicholas Molloy, Jing Sun, Gillian Dobbie
Visual Development Platform for Ruby on Rails. SEKE (2017)
M. Asif Naeem, Gillian Dobbie, Christof Lutteroth, Gerald Weber
Skewed distributions in semi-stream joins: How much can caching help? Inf. Syst. 64 (2017)
Muhammad Rizwan Asghar, TzeHowe Lee, Mirza Mansoor Baig, Ehsan Ullah, Giovanni Russello, Gillian Dobbie
A Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources. eScience (2017)
M. Shaban Jokhio, Jing Sun, Gillian Dobbie, Tianming Hu
Goal-based testing of semantic web services. Inf. Softw. Technol. 83 (2017)
Muhammad Rizwan Asghar, TzeHowe Lee, Mirza Mansoor Baig, Ehsan Ullah, Giovanni Russello, Gillian Dobbie
A Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources. CoRR (2017)
Candice Eckert, Brian Cham, Jing Sun, Gillian Dobbie
From Design to Code: An Educational Approach. SEKE (2016)
Se Yeong Jeong, Yun Sing Koh, Gillian Dobbie
Phishing Detection on Twitter Streams. PAKDD Workshops (2016)
Shafiq Alam, Gillian Dobbie, XiaoBin Sun
Improving Imputation Accuracy in Ordinal Data Using Classification. ISDA (2016)
Robert Anderson, Yun Sing Koh, Gillian Dobbie
CPF: Concept Profiling Framework for Recurring Drifts in Data Streams. Australasian Conference on Artificial Intelligence (2016)
Candice Eckert, Brian Cham, Pengyi Li, Jing Sun, Gillian Dobbie
Linking Design Model with Code. Int. J. Softw. Eng. Knowl. Eng. 26 (9-10) (2016)
Tian Huang, Yongxin Zhu, Yafei Wu, Stéphane Bressan, Gillian Dobbie
Anomaly detection and identification scheme for VM live migration in cloud infrastructure. Future Gener. Comput. Syst. 56 (2016)
Tian Huang, Yongxin Zhu, Yishu Mao, Xinyang Li, Mengyun Liu, Yafei Wu, Yajun Ha, Gillian Dobbie
Parallel Discord Discovery. PAKDD (2) (2016)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie, Albert Bifet
Drift Detection Using Stream Volatility. ECML/PKDD (1) (2015)
Ranjini Swaminathan, Mohan Sridharan, Gillian Dobbie, Katharine Hayhoe
Modeling Ice Storm Climatology. Australasian Conference on Artificial Intelligence (2015)
Shafiq Alam, Gillian Dobbie, Saeed Ur Rehman
Analysis of particle swarm optimization based hierarchical data clustering approaches. Swarm Evol. Comput. 25 (2015)
Ryan K. L. Ko, Giovanni Russello, Richard Nelson, Shaoning Pang, Aloysius Cheang, Gillian Dobbie, Abdolhossein Sarrafzadeh, Sivadon Chaisiri, Muhammad Rizwan Asghar, Geoffrey Holmes
STRATUS: Towards Returning Data Control to Cloud Users. ICA3PP (Workshops and Symposiums) (2015)
David Tse Jung Huang, Yun Sing Koh, Gillian Dobbie
Rare Pattern Mining from Data Streams Using SRP-Tree and Its Variants. Trans. Large Scale Data Knowl. Centered Syst. 21 (2015)
Prashant Gupta, Mark Gahegan, Gillian Dobbie
Adventures of Categories: Modelling the Evolution of Categories During Scientific Investigation. e-Science (2015)
Mohammad Abdullatif, Yun Sing Koh, Gillian Dobbie
Unsupervised Semantic and Syntactic Based Classification of Scientific Citations. DaWaK (2015)
Mozhgan Memari, Sebastian Link, Gillian Dobbie
SQL Data Profiling of Foreign Keys. ER (2015)
Matthias Jarke, Gillian Dobbie, Eric S. K. Yu
Special Issue on Advances in Conceptual Modeling (ER 2014). Data Knowl. Eng. 99 (2015)
Yi Song, Stéphane Bressan, Gillian Dobbie
Fast Disjoint and Overlapping Community Detection. Trans. Large Scale Data Knowl. Centered Syst. 18 (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gillian Dobbie