Sarah M. Erfani

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 128

Top Venues

University of Melbourne, Australia (PHD)

Education History

University of Melbourne, Australia

PHD

Publications

Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences. CoRR (2024)
Jinhao Li, Haopeng Li, Sarah M. Erfani, Lei Feng, James Bailey, Feng Liu
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models. CoRR (2024)
Xueqi Ma, Xingjun Ma, Sarah M. Erfani, James Bailey
Training Sparse Graph Neural Networks via Pruning and Sprouting. SDM (2024)
Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
Detecting Anomalous Agent Decision Sequences Based on Offline Imitation Learning. AAMAS (2024)
Canaan Yung, Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
Round Trip Translation Defence against Large Language Model Jailbreaking Attacks. CoRR (2024)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. SaTML (2024)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
Be Persistent: Towards a Unified Solution for Mitigating Shortcuts in Deep Learning. CoRR (2024)
Haitian He, Sarah M. Erfani, Mingming Gong, Qiuhong Ke
Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining. WACV (2024)
Maxwell T. West, Shu Lok Tsang, Jia Shun Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman
Towards quantum enhanced adversarial robustness in machine learning. CoRR (2023)
Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. CoRR (2023)
Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
Online Trajectory Anomaly Detection Based on Intention Orientation. IJCNN (2023)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
It's Simplex! Disaggregating Measures to Improve Certified Robustness. CoRR (2023)
Maxwell T. West, Shu Lok Tsang, Jia Shun Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman
Towards quantum enhanced adversarial robustness in machine learning. Nat. Mac. Intell. 5 (6) (2023)
Dominic Jack, Sarah M. Erfani, Jeffrey Chan, Sutharshan Rajasegarar, Christopher Leckie
It's PageRank All The Way Down: Simplifying Deep Graph Networks. SDM (2023)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan, Lei Pan
EnSpeciVAT: Enhanced SpecieVAT for Cluster Tendency Identification in Graphs. ADMA (3) (2023)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. CoRR (2023)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Distilling Cognitive Backdoor Patterns within an Image. CoRR (2023)
Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. AAAI (2023)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Exploiting Certified Defences to Attack Randomised Smoothing. CoRR (2023)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
Adversarial Coreset Selection for Efficient Robust Training. Int. J. Comput. Vis. 131 (12) (2023)
Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS (2022)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. NeurIPS (2022)
Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. EMNLP (Findings) (2022)
Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. ACL (1) (2022)
Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman
Benchmarking Adversarially Robust Quantum Machine Learning at Scale. CoRR (2022)
Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC (2022)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
COLLIDER: A Robust Training Framework for Backdoor Data. CoRR (2022)
Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. CoRR (2022)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
Adversarial Coreset Selection for Efficient Robust Training. CoRR (2022)
Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity. CoRR (2022)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
-Robustness and Beyond: Unleashing Efficient Adversarial Training. ECCV (11) (2022)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
COLLIDER: A Robust Training Framework for Backdoor Data. ACCV (6) (2022)
Shu Lok Tsang, Maxwell T. West, Sarah M. Erfani, Muhammad Usman
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation. CoRR (2022)
Fanzhe Qu, Sarah M. Erfani, Muhammad Usman
Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm. CoRR (2022)
Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. KDD (2022)
Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. CoRR (2022)
Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. CoRR (2022)
Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. CoRR (2021)
Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan
Domain-Aware Multiagent Reinforcement Learning in Navigation. IJCNN (2021)
Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. IJCAI (2021)
Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan
Neural Graph Matching based Collaborative Filtering. SIGIR (2021)
Guohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey
Generating Deep Networks Explanations with Robust Attribution Alignment. ACML (2021)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR (2021)
Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning. IJCAI (2021)
Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle
A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM (2021)
Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu
Detecting Beneficial Feature Interactions for Recommender Systems. AAAI (2021)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
Defending Support Vector Machines Against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. NeurIPS (2021)
Laurent Amsaleg, James Bailey, Amélie Barbe, Sarah M. Erfani, Teddy Furon, Michael E. Houle, Milos Radovanovic, Xuan Vinh Nguyen
High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. NeurIPS (2021)
Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. SDM (2021)
Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan
Neural Graph Matching based Collaborative Filtering. CoRR (2021)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
-Robustness and Beyond: Unleashing Efficient Adversarial Training. CoRR (2021)
Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
Scalable Contrast Pattern Mining over Data Streams. CIKM (2021)
Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. IJCNN (2021)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Neural Architecture Search via Combinatorial Multi-Armed Bandit. CoRR (2021)
Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey
Neural Architecture Search via Combinatorial Multi-Armed Bandit. IJCNN (2021)
Namrata Srivastava, Sadia Nawaz, Joshua Newn, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, Dragan Gasevic, James Bailey
Are you with me? Measurement of Learners' Video-Watching Attention with Eye Tracking. LAK (2021)
Jiabo He, Sarah M. Erfani, Xingjun Ma, James Bailey, Ying Chi, Xian-Sheng Hua
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression. CoRR (2021)
Zhiheng Zhong, Jiabo He, Maria Alejandra Rodriguez, Sarah M. Erfani, Ramamohanarao Kotagiri, Rajkumar Buyya
Heterogeneous Task Co-location in Containerized Cloud Computing Environments. ISORC (2020)
Zahra Ghafoori, Sarah M. Erfani, James C. Bezdek, Shanika Karunasekera, Christopher Leckie
LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 32 (4) (2020)
Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. NeurIPS (2020)
Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie
Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. IJCNN (2020)
Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. CoRR (2020)
Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
Invertible Generative Modeling using Linear Rational Splines. CoRR (2020)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. CoRR (2020)
Namrata Srivastava, Sadia Nawaz, Jason M. Lodge, Eduardo Velloso, Sarah M. Erfani, James Bailey
Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences. LAK (2020)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence. IJCNN (2020)
Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks. CoRR (2020)
Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. BPM (2020)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
Defending Distributed Classifiers Against Data Poisoning Attacks. CoRR (2020)
Shiquan Yang, Rui Zhang, Sarah M. Erfani
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. CoRR (2020)
Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie
Black-box Adversarial Example Generation with Normalizing Flows. CoRR (2020)
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
Normalized Loss Functions for Deep Learning with Noisy Labels. CoRR (2020)
Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie
Invertible Generative Modeling using Linear Rational Splines. AISTATS (2020)
Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. IJCNN (2020)
Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie
Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns. CoRR (2020)
Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. CoRR (2020)
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Defending Regression Learners Against Poisoning Attacks. CoRR (2020)
Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao
Segmented Pairwise Distance for Time Series with Large Discontinuities. IJCNN (2020)
Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao
Segmented Pairwise Distance for Time Series with Large Discontinuities. CoRR (2020)
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey
Normalized Loss Functions for Deep Learning with Noisy Labels. ICML (2020)
Shiquan Yang, Rui Zhang, Sarah M. Erfani
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. EMNLP (1) (2020)
Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey
SynthNet: Learning to Synthesize Music End-to-End. IJCAI (2019)
Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey
Online cluster validity indices for performance monitoring of streaming data clustering. Int. J. Intell. Syst. 34 (4) (2019)
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
Support vector machines resilient against training data integrity attacks. Pattern Recognit. 96 (2019)
Namrata Srivastava, Eduardo Velloso, Jason M. Lodge, Sarah M. Erfani, James Bailey
Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report. CHI (2019)
Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie
Deep Learning and One-class SVM based Anomalous Crowd Detection. IJCNN (2019)
Fateme Fahiman, Sarah M. Erfani, Christopher Leckie
Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. IJCNN (2019)
Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani
Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. CoRR (2019)
Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. CIKM (2019)
Ifrah Saeed, Tansu Alpcan, Sarah M. Erfani, M. Berkay Yilmaz
Distributed Nonlinear Model Predictive Control and Reinforcement Learning. ANZCC (2019)
Li Li, Chien Aun Chan, Sarah M. Erfani, Christopher Leckie
Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. IJCNN (2019)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Peyam Pourbeik, Jack Riddle
Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks. GameSec (2018)
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR (2018)
Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey
Online Cluster Validity Indices for Streaming Data. CoRR (2018)
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. GameSec (2018)
Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri
Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. AAAI (2018)
Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey
Dimensionality-Driven Learning with Noisy Labels. ICML (2018)
Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague
Reinforcement Learning for Autonomous Defence in Software-Defined Networking. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sarah M. Erfani