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ORCIDSarah M. Erfani
Sarah Monazam Erfani
Person information
- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2023
[c76]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: 8861-8869- [c75]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. ICLR 2023 - [c74]Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
Online Trajectory Anomaly Detection Based on Intention Orientation. IJCNN 2023: 1-8 - [i48]Hanxun Huang
, Xingjun Ma, Sarah M. Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. CoRR abs/2301.10908 (2023) - [i47]Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Exploiting Certified Defences to Attack Randomised Smoothing. CoRR abs/2302.04379 (2023) - [i46]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models. CoRR abs/2303.08500 (2023) - [i45]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 abs/2306.12688 (2023) - [i44]Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein:
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks. CoRR abs/2308.07553 (2023) - [i43]Andrew C. Cullen, Paul Montague, Shijie Liu, Sarah M. Erfani, Benjamin I. P. Rubinstein:
It's Simplex! Disaggregating Measures to Improve Certified Robustness. CoRR abs/2309.11005 (2023) - 2022
- [c73]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
COLLIDER: A Robust Training Framework for Backdoor Data. ACCV (6) 2022: 681-698 - [c72]Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. ACL (1) 2022: 4918-4935 - [c71]Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC 2022: 6118-6125 - [c70]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
ℓ ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. ECCV (11) 2022: 467-483 - [c69]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: 1220-1234 - [c68]Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang:
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. KDD 2022: 1676-1686 - [c67]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 - [c66]Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M. Erfani, Jeffrey Chan:
Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection. NSS 2022: 105-119 - [i42]Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. CoRR abs/2203.05843 (2022) - [i41]Shiquan Yang, Xinting Huang, Jey Han Lau, Sarah M. Erfani:
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering. CoRR abs/2205.10363 (2022) - [i40]Fanzhe Qu, Sarah M. Erfani, Muhammad Usman:
Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm. CoRR abs/2206.07852 (2022) - [i39]Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang:
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. CoRR abs/2206.13764 (2022) - [i38]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Adversarial Coreset Selection for Efficient Robust Training. CoRR abs/2209.05785 (2022) - [i37]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 abs/2210.06077 (2022) - [i36]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
COLLIDER: A Robust Training Framework for Backdoor Data. CoRR abs/2210.06704 (2022) - [i35]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Backdoor Attacks on Time Series: A Generative Approach. CoRR abs/2211.07915 (2022) - [i34]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 abs/2211.12681 (2022) - [i33]Shu Lok Tsang, Maxwell T. West, Sarah M. Erfani, Muhammad Usman:
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation. CoRR abs/2212.11614 (2022) - 2021
- [j9]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: 854-865 (2021) - [j8]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Defending Support Vector Machines Against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 16: 2566-2578 (2021) - [c65]Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Beneficial Feature Interactions for Recommender Systems. AAAI 2021: 4357-4365 - [c64]Guohang Zeng, Yousef Kowsar, Sarah M. Erfani, James Bailey:
Generating Deep Networks Explanations with Robust Attribution Alignment. ACML 2021: 753-768 - [c63]Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Scalable Contrast Pattern Mining over Data Streams. CIKM 2021: 2842-2846 - [c62]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang:
Unlearnable Examples: Making Personal Data Unexploitable. ICLR 2021 - [c61]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: 3176-3184 - [c60]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: 3978-3984 - [c59]Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns. IJCNN 2021: 1-8 - [c58]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. IJCNN 2021: 1-8 - [c57]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Dual Head Adversarial Training. IJCNN 2021: 1-8 - [c56]Ifrah Saeed, Andrew C. Cullen, Sarah M. Erfani, Tansu Alpcan:
Domain-Aware Multiagent Reinforcement Learning in Navigation. IJCNN 2021: 1-8 - [c55]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: 88-98 - [c54]Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma:
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. NeurIPS 2021: 5545-5559 - [c53]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: 20230-20242 - [c52]Qizhou Wang, Sarah M. Erfani, Christopher Leckie, Michael E. Houle:
A Dimensionality-Driven Approach for Unsupervised Out-of-distribution Detection. SDM 2021: 118-126 - [c51]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani:
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. SDM 2021: 522-530 - [c50]Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. SIGIR 2021: 849-858 - [i32]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. CoRR abs/2101.00336 (2021) - [i31]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang:
Unlearnable Examples: Making Personal Data Unexploitable. CoRR abs/2101.04898 (2021) - [i30]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani:
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. CoRR abs/2102.07298 (2021) - [i29]Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Dual Head Adversarial Training. CoRR abs/2104.10377 (2021) - [i28]Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. CoRR abs/2105.04067 (2021) - [i27]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR abs/2109.11803 (2021) - [i26]Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma:
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. CoRR abs/2110.03825 (2021) - [i25]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 abs/2110.13675 (2021) - [i24]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
𝓁∞-Robustness and Beyond: Unleashing Efficient Adversarial Training. CoRR abs/2112.00378 (2021) - 2020
- [j7]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): 815-820 (2020) - [c49]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Invertible Generative Modeling using Linear Rational Splines. AISTATS 2020: 4236-4246 - [c48]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: 237-256 - [c47]Shiquan Yang, Rui Zhang, Sarah M. Erfani:
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. EMNLP (1) 2020: 1878-1888 - [c46]Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey:
Normalized Loss Functions for Deep Learning with Noisy Labels. ICML 2020: 6543-6553 - [c45]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: 1-8 - [c44]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: 1-8 - [c43]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: 1-8 - [c42]Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie:
Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks. IJCNN 2020: 1-8 - [c41]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: 79-88 - [c40]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: 250-259 - [c39]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. NeurIPS 2020 - [i23]Hadi Mohaghegh Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Invertible Generative Modeling using Linear Rational Splines. CoRR abs/2001.05168 (2020) - [i22]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 abs/2003.11268 (2020) - [i21]Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey:
Normalized Loss Functions for Deep Learning with Noisy Labels. CoRR abs/2006.13554 (2020) - [i20]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
Black-box Adversarial Example Generation with Normalizing Flows. CoRR abs/2007.02734 (2020) - [i19]Hadi M. Dolatabadi, Sarah M. Erfani, Christopher Leckie:
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows. CoRR abs/2007.07435 (2020) - [i18]Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks. CoRR abs/2008.00404 (2020) - [i17]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Defending Regression Learners Against Poisoning Attacks. CoRR abs/2008.09279 (2020) - [i16]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Defending Distributed Classifiers Against Data Poisoning Attacks. CoRR abs/2008.09284 (2020) - [i15]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 abs/2009.10987 (2020) - [i14]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 abs/2009.11013 (2020) - [i13]Shiquan Yang, Rui Zhang, Sarah M. Erfani:
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. CoRR abs/2010.01447 (2020) - [i12]Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns. CoRR abs/2011.14830 (2020)
2010 – 2019
- 2019
- [j6]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): 541-563 (2019) - [j5]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie:
Support vector machines resilient against training data integrity attacks. Pattern Recognit. 96 (2019) - [c38]Ifrah Saeed, Tansu Alpcan, Sarah M. Erfani, M. Berkay Yilmaz:
Distributed Nonlinear Model Predictive Control and Reinforcement Learning. ANZCC 2019: 1-3 - [c37]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: 586 - [c36]Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie:
Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. CIKM 2019: 2253-2256 - [c35]Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey:
SynthNet: Learning to Synthesize Music End-to-End. IJCAI 2019: 3367-3374 - [c34]Fateme Fahiman, Sarah M. Erfani, Christopher Leckie:
Robust and Accurate Short-Term Load Forecasting: A Cluster Oriented Ensemble Learning Approach. IJCNN 2019: 1-8 - [c33]Li Li, Chien Aun Chan, Sarah M. Erfani, Christopher Leckie:
Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks. IJCNN 2019: 1-10 - [c32]Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. IJCNN 2019: 1-8 - [c31]Meng Yang, Sutharshan Rajasegarar, Sarah M. Erfani, Christopher Leckie:
Deep Learning and One-class SVM based Anomalous Crowd Detection. IJCNN 2019: 1-8 - [i11]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 abs/1902.09062 (2019) - [i10]Sukarna Barua, Xingjun Ma, Sarah Monazam Erfani, Michael E. Houle, James Bailey:
Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality. CoRR abs/1905.00643 (2019) - [i9]Sukarna Barua, Sarah Monazam Erfani, James Bailey:
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs. CoRR abs/1905.02417 (2019) - [i8]Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. CoRR abs/1908.01099 (2019) - 2018
- [j4]Punit Rathore, James C. Bezdek, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami:
Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections. IEEE Trans. Fuzzy Syst. 26(3): 1510-1524 (2018) - [j3]Zahra Ghafoori, Sarah M. Erfani, Sutharshan Rajasegarar, James C. Bezdek, Shanika Karunasekera, Christopher Leckie:
Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5057-5070 (2018) - [c30]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. AAAI 2018: 2143-2150 - [c29]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: 145-165 - [c28]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: 386-397 - [c27]Shuo Zhou, Sarah M. Erfani, James Bailey:
Online CP Decomposition for Sparse Tensors. ICDM 2018: 1458-1463 - [c26]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR 2018 - [c25]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: 3361-3370 - [c24]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
Predicting Complex Activities from Ongoing Multivariate Time Series. IJCAI 2018: 3322-3328 - [c23]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Jack Riddle:
Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning. LCN 2018: 469-472 - [c22]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI 2018: 83-92 - [i7]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 abs/1801.02613 (2018) - [i6]Masud Moshtaghi, James C. Bezdek, Sarah M. Erfani, Christopher Leckie, James Bailey:
Online Cluster Validity Indices for Streaming Data. CoRR abs/1801.02937 (2018) - [i5]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. CoRR abs/1806.02612 (2018) - [i4]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR abs/1807.08237 (2018) - [i3]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 abs/1808.05770 (2018) - 2017
- [j2]Masud Moshtaghi, Sarah M. Erfani, Christopher Leckie, James C. Bezdek:
Exponentially Weighted Ellipsoidal Model for Anomaly Detection. Int. J. Intell. Syst. 32(9): 881-899 (2017) - [c21]Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao:
From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach. AAAI 2017: 1854-1860 - [c20]Elaheh Alipour Chavary, Sarah M. Erfani, Christopher Leckie:
Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining. CIKM 2017: 2015-2018 - [c19]Fateme Fahiman, James C. Bezdek, Sarah M. Erfani, Marimuthu Palaniswami, Christopher Leckie:
Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms. FUZZ-IEEE 2017: 1-8 - [c18]Timothy B. Iredale, Sarah M. Erfani, Christopher Leckie:
An efficient visual assessment of cluster tendency tool for large-scale time series data sets. FUZZ-IEEE 2017: 1-8 - [c17]Shuo Zhou, Sarah M. Erfani, James Bailey:
SCED: A General Framework for Sparse Tensor Decomposition with Constraints and Elementwise Dynamic Learning. ICDM 2017: 675-684 - [c16]Li Li, Sarah M. Erfani, Christopher Leckie:
A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data. ICDM Workshops 2017: 916-923 - [c15]Fateme Fahiman, Sarah M. Erfani, Sutharshan Rajasegarar, Marimuthu Palaniswami, Christopher Leckie:
Improving load forecasting based on deep learning and K-shape clustering. IJCNN 2017: 4134-4141 - [c14]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao:
Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition. MobiQuitous 2017: 282-291 - [c13]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao:
Accurate Recognition of the Current Activity in the Presence of Multiple Activities. PAKDD (2) 2017: 39-50 - [c12]Laurent Amsaleg, James Bailey, Dominique Barbe, Sarah M. Erfani, Michael E. Houle, Vinh Nguyen, Milos Radovanovic:
The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. WIFS 2017: 1-6 - [i2]Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Toward the Starting Line: A Systems Engineering Approach to Strong AI. CoRR abs/1707.09095 (2017) - 2016
- [j1]Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie:
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. Pattern Recognit. 58: 121-134 (2016) - [c11]