Sarah Monazam Erfani

Defending Support Vector Machines Against Data Poisoning Attacks

S Weerasinghe, T Alpcan, SM Erfani, C Leckie

Journal article  |  2021  |  IEEE Transactions on Information Forensics and Security

High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence

Laurent Amsaleg, James Bailey, Amdeie Barbe, Sarah M Erfani, Teddy Furon, Michael E Houle, Milos Radovanovic, Vinh Nguyen Xuan

Journal article  |  2021  |  IEEE Transactions on Information Forensics and Security

Segmented Pairwise Distance for Time Series with Large Discontinuities

Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O'Leary, Kotagiri Ramamohanarao

Conference Proceedings  |  2020  |  2020 International Joint Conference on Neural Networks (IJCNN)

Time series with large discontinuities are common in many scenarios. However, existing distance-based algorithms (e.g., DTW and it..

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence

Yi Han, David Hubczenko, Paul Montague, Olivier De Vel, Tamas Abraham, Benjamin IP Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah Erfani

Conference Proceedings  |  2020  |  2020 International Joint Conference on Neural Networks (IJCNN)

Recent studies have demonstrated that reinforcement learning (RL) agents are susceptible to adversarial manipulation, similar to v..

Discovery of contrast corridors from trajectory data in heterogeneous dynamic cellular networks

Li Li, Sarah Erfani, Chien Aun Chan, Christopher Leckie

Conference Proceedings  |  2020  |  2020 International Joint Conference on Neural Networks (IJCNN)

In 5G networks, the deployment and management of mobile edge computing infrastructure is a major challenge for mobile operators. M..

Learning Non-Unique Segmentation with Reward-Penalty Dice Loss

Jiabo He, Sarah Erfani, Sudanthi Wijewickrema, Stephen O'Leary, Kotagiri Ramamohanarao

Conference Proceedings  |  2020  |  2020 International Joint Conference on Neural Networks (IJCNN)

Semantic segmentation is one of the key problems in the field of computer vision, as it enables computer image understanding. Howe..

Heterogeneous task co-location in containerized cloud computing environments

Z Zhong, J He, MA Rodriguez, S Erfani, R Kotagiri, R Buyya

Conference Proceedings  |  2020  |  2020 IEEE 23rd International Symposium on Real-Time Distributed Computing (ISORC)

Although cloud computing became a mainstream industrial computing paradigm, low resource utilization remains a common problem that..

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

Zahra Ghafoori, Sarah M Erfani, James C Bezdek, Shanika Karunasekera, Christopher Leckie

Journal article  |  2020  |  IEEE Transactions on Knowledge and Data Engineering

We present a new unsupervised dimensionality reduction technique, called LN-SNE, for anomaly detection. LN-SNE generates a paramet..

Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences

N Srivastava, S Nawaz, JM Lodge, E Velloso, S Erfani, J Bailey

Conference Proceedings  |  2020  |  LAK '20: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge

Video is becoming a dominant medium for the delivery of educational material. Despite the widespread use of video for learning, th..

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

Farbod Taymouri, Marcello La Rosa, Sara Monazam Erfani, Zahrah Dasht Bozorgi, Ilya Verenich

Report  |  2020  |  Lecture Notes in Artificial Intelligence