S. Erfani

发表

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality pdf

James Bailey, Dawn Xiaodong Song, Bo Li, 2018, ICLR.

High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence

Laurent Amsaleg, Xuan Vinh Nguyen, James Bailey, 2021, IEEE Transactions on Information Forensics and Security.

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Hadi M. Dolatabadi, C. Leckie, S. Erfani, 2020, NeurIPS.

CP Decomposition for Sparse Tensors

J. Bailey, S. Erfani, Shuo Zhou, 2018 .

Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm

S. Erfani, Fanzhe Qu, M. Usman, 2022, ArXiv.

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems

Rui Zhang, S. Erfani, Junhao Gan, 2022, KDD.

Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering

Jey Han Lau, S. Erfani, Xinting Huang, 2022, EMNLP.

Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity

Benjamin I. P. Rubinstein, Andrew C. Cullen, Paul Montague, 2022, NeurIPS.

Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm

S. Erfani, Fanzhe Qu, M. Usman, 2022, ArXiv.

MMF: Attribute Interpretable Collaborative Filtering

S. Erfani, Rui Zhang, Yixin Su, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Adversarial Coreset Selection for Efficient Robust Training

Hadi M. Dolatabadi, C. Leckie, S. Erfani, 2022, International Journal of Computer Vision.

$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training

Hadi M. Dolatabadi, C. Leckie, S. Erfani, 2021, 2112.00378.

Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation

S. Erfani, Muhammad Usman, Shu Lok Tsang, 2022, 2212.11614.

Benchmarking Adversarially Robust Quantum Machine Learning at Scale

L. Hollenberg, C. Leckie, S. Erfani, 2022, Physical Review Research.

Toward the Starting Line: A Systems Engineering Approach to Strong AI pdf

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2017, ArXiv.

Domain-Aware Multiagent Reinforcement Learning in Navigation

Tansu Alpcan, Sarah Erfani, Ifrah Saeed, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Segmented Pairwise Distance for Time Series with Large Discontinuities

Kotagiri Ramamohanarao, Sarah Erfani, Jiabo He, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

SynthNet: Learning to Synthesize Music End-to-End

James Bailey, Florin Schimbinschi, Sarah M. Erfani, 2019, IJCAI.

Quality Evaluation of GANs Using Cross Local Intrinsic Dimensionality pdf

James Bailey, Michael E. Houle, Xingjun Ma, 2018, ArXiv.

Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2021, IJCAI.

An efficient visual assessment of cluster tendency tool for large-scale time series data sets

Christopher Leckie, Sarah M. Erfani, Timothy B. Iredale, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2016, Pattern Recognit..

R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2015, AAAI.

Hybrid Quantum–Classical Generative Adversarial Network for High-Resolution Image Generation

S. Erfani, Muhammad Usman, Shu Lok Tsang, 2022, IEEE Transactions on Quantum Engineering.

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models

C. Leckie, S. Erfani, H. M. Dolatabadi, 2023, ArXiv.

Invertible Generative Modeling using Linear Rational Splines

C. Leckie, S. Erfani, H. M. Dolatabadi, 2020, AISTATS.

Robust Domain Generalisation by Enforcing Distribution Invariance

James Bailey, Vinh Nguyen, Kotagiri Ramamohanarao, 2016, IJCAI.

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression pdf

Xian-Sheng Hua, Sarah Erfani, Ying Chi, 2021, ArXiv.

Dimensionality-Driven Learning with Noisy Labels

James Bailey, Shuo Zhou, Shu-Tao Xia, 2018, ICML.

Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-Report

James Bailey, Jason M. Lodge, Eduardo Velloso, 2019, CHI.

Normalized Loss Functions for Deep Learning with Noisy Labels pdf

James Bailey, Simone Romano, Sarah Erfani, 2020, ICML.

Neural Graph Matching based Collaborative Filtering

Junhao Gan, Sarah Erfani, Rui Zhang, 2021, SIGIR.

An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation

Jey Han Lau, Rui Zhang, S. Erfani, 2022, ACL.

Unlearnable Examples: Making Personal Data Unexploitable

Xingjun Ma, J. Bailey, S. Erfani, 2021, ICLR.

Dual Head Adversarial Training

J. Bailey, S. Erfani, Xingjun Ma, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks pdf

Quanquan Gu, Sarah Monazam Erfani, Xingjun Ma, 2021, NeurIPS.

Exponentially Weighted Ellipsoidal Model for Anomaly Detection

Christopher Leckie, James C. Bezdek, Masud Moshtaghi, 2017, Int. J. Intell. Syst..

Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines

James C. Bezdek, Sutharshan Rajasegarar, Shanika Karunasekera, 2018, IEEE Transactions on Neural Networks and Learning Systems.

An efficient approach to detecting concept-evolution in network data streams

Christopher Leckie, Sutharshan Rajasegarar, Sarah M. Erfani, 2011, 2011 Australasian Telecommunication Networks and Applications Conference (ATNAC).

Neural Architecture Search via Combinatorial Multi-Armed Bandit

Xingjun Ma, J. Bailey, S. Erfani, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

COLLIDER: A Robust Training Framework for Backdoor Data

C. Leckie, S. Erfani, H. M. Dolatabadi, 2022, Asian Conference on Computer Vision.

GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems pdf

Rui Zhang, Shiquan Yang, Sarah Erfani, 2020, EMNLP.

Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing

Marimuthu Palaniswami, Yee Wei Law, Christopher Leckie, 2014, PAKDD.

Support vector machines resilient against training data integrity attacks

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2019, Pattern Recognit..

Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning

Christopher Leckie, Sarah M. Erfani, Timothy Glennan, 2016, ACISP.

A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data

Li Li, Christopher Leckie, Sarah M. Erfani, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality

James Bailey, Vinh Nguyen, Laurent Amsaleg, 2017, 2017 IEEE Workshop on Information Forensics and Security (WIFS).

Reinforcement Learning for Autonomous Defence in Software-Defined Networking pdf

Christopher Leckie, Tansu Alpcan, Benjamin I. P. Rubinstein, 2018, GameSec.

Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2016, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence

Benjamin I. P. Rubinstein, T. Alpcan, O. Vel, 2019, 2020 International Joint Conference on Neural Networks (IJCNN).

Online cluster validity indices for performance monitoring of streaming data clustering

James Bailey, Christopher Leckie, James C. Bezdek, 2018, Int. J. Intell. Syst..

Improving load forecasting based on deep learning and K-shape clustering

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

An improved scheme for privacy-preserving collaborative anomaly detection

Marimuthu Palaniswami, Lingjuan Lyu, Yee Wei Law, 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

Detecting Beneficial Feature Interactions for Recommender Systems

Rui Zhang, Yixin Su, Sarah Erfani, 2020, AAAI.

Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Local Intrinsic Dimensionality Signals Adversarial Perturbations pdf

Christopher Leckie, Tansu Alpcan, Benjamin I. P. Rubinstein, 2021, 2022 IEEE 61st Conference on Decision and Control (CDC).

Distributed Nonlinear Model Predictive Control and Reinforcement Learning

Tansu Alpcan, Sarah M. Erfani, Ifrah Saeed, 2019, 2019 Australian & New Zealand Control Conference (ANZCC).

Towards quantum enhanced adversarial robustness in machine learning

L. Hollenberg, C. Leckie, S. Erfani, 2023, Nature Machine Intelligence.

A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences

Marcello La Rosa, Sarah M. Erfani, Farbod Taymouri, 2021, SDM.

Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction pdf

Marcello La Rosa, Farbod Taymouri, Sarah Erfani, 2020, BPM.

Unsupervised Adversarial Anomaly Detection using One-Class Support Vector Machines

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2018 .

Online Trajectory Anomaly Detection Based on Intention Orientation

T. Alpcan, C. Leckie, S. Erfani, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Ensemble Fuzzy Clustering Using Cumulative Aggregation on Random Projections

Marimuthu Palaniswami, James C. Bezdek, Sutharshan Rajasegarar, 2018, IEEE Transactions on Fuzzy Systems.

UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems

Sarah M. Erfani, Jey Han Lau, Rui Zhang, 2021, IJCAI.

Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks

Li Li, Chien Aun Chan, Sarah M. Erfani, 2019, CIKM.

Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition

Rui Zhang, Sarah M. Erfani, Ramamohanarao Kotagiri, 2018, AAAI.

Predicting Complex Activities from Ongoing Multivariate Time Series

Rui Zhang, Sarah M. Erfani, Ramamohanarao Kotagiri, 2018, IJCAI.

Data-Driven Dynamic Probabilistic Reserve Sizing Based on Dynamic Bayesian Belief Networks

Pierluigi Mancarella, Christopher Leckie, Fateme Fahiman, 2019, IEEE Transactions on Power Systems.

Deep Learning and One-class SVM based Anomalous Crowd Detection

Sutharshan Rajasegarar, Christopher Leckie, Meng Yang, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

The Certification Paradox: Certifications Admit Better Attacks

Benjamin I. P. Rubinstein, Andrew C. Cullen, Paul Montague, 2023, 2302.04379.

Exploiting Certified Defences to Attack Randomised Smoothing

Benjamin I. P. Rubinstein, Andrew C. Cullen, Paul Montague, 2023, ArXiv.

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data pdf

James Bailey, Bo Dai, Hongyuan Zha, 2018, UAI 2018.

Online CP Decomposition for Sparse Tensors

James Bailey, Shuo Zhou, Sarah M. Erfani, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs pdf

James Bailey, Sukarna Barua, Sarah Monazam Erfani, 2019, ArXiv.

Defending Support Vector Machines Against Data Poisoning Attacks

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2021, IEEE Transactions on Information Forensics and Security.

Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns pdf

Christopher Leckie, Sarah M. Erfani, Elaheh Alipour Chavary, 2020, ArXiv.

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection

Christopher Leckie, James C. Bezdek, Shanika Karunasekera, 2020, IEEE Transactions on Knowledge and Data Engineering.

Unsupervised Parameter Estimation for One-Class Support Vector Machines

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2016, PAKDD.

Defending Distributed Classifiers Against Data Poisoning Attacks pdf

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2020, ArXiv.

Backdoor Attacks on Time Series: A Generative Approach

Xingjun Ma, S. Erfani, James Bailey, 2022, 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks pdf

Rui Zhang, Yixin Su, Sarah Erfani, 2020, ArXiv.

Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks

Benjamin I. P. Rubinstein, Andrew C. Cullen, Paul Montague, 2023, AAAI.

𝓁∞-Robustness and Beyond: Unleashing Efficient Adversarial Training

C. Leckie, S. Erfani, H. M. Dolatabadi, 2022, ECCV.

Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition

Kotagiri Ramamohanarao, Rui Zhang, Sarah M. Erfani, 2017, MobiQuitous.