Sarah Monazam Erfani

COLLIDER: A Robust Training Framework for Backdoor Data

Hadi M Dolatabadi, Sarah Erfani, Christopher Leckie

Book Chapter  |  2023  |  Lecture Notes in Computer Science

Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems

Y Su, Y Zhao, S Erfani, J Gan, R Zhang

Conference Proceedings  |  2022  |  Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Detecting beneficial feature interactions is essential in recommender systems, and existing approaches achieve this by examining a..

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

S Yang, X Huang, JH Lau, S Erfani

Conference Proceedings  |  2022  |  Findings of the Association for Computational Linguistics: EMNLP 2022

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

S Yang, R Zhang, S Erfani, JH Lau

Conference Proceedings  |  2022  |  Proceedings of the Annual Meeting of the Association for Computational Linguistics

We study the interpretability issue of task-oriented dialogue systems in this paper. Previously, most neural-based task-oriented d..

Exploiting Redundancy in Network Flow Information for Efficient Security Attack Detection

Siqi Xia, Sutharshan Rajasegarar, Christopher Leckie, Sarah M Erfani, Jeffrey Chan

Book Chapter  |  2022  |  Lecture Notes in Computer Science

Securing communication networks has become increasingly important due to the growth in cybersecurity attacks, such as ransomware a..

Local Intrinsic Dimensionality Signals Adversarial Perturbations

S Weerasinghe, T Abraham, T Alpcan, SM Erfani, C Leckie, BIP Rubinstein

Conference Proceedings  |  2022  |  Proceedings of the IEEE Conference on Decision and Control

The vulnerability of machine learning models to adversarial perturbations has motivated a significant amount of research under the..

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

Hadi M Dolatabadi, Sarah Erfani, Christopher Leckie

Book Chapter  |  2022  |  Lecture Notes in Computer Science

ℓ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training

Hadi M Dolatabadi, Sarah Erfani, Christopher Leckie

Book Chapter  |  2022  |  Lecture Notes in Computer Science

ℓ∞-Robustness and Beyond: Unleashing Efficient Adversarial Training

HM Dolatabadi, S Erfani, C Leckie

Conference Proceedings  |  2022  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Scalable Contrast Pattern Mining over Data Streams

E Alipourchavary, SM Erfani, C Leckie

Conference Proceedings  |  2021  |  International Conference on Information and Knowledge Management, Proceedings

Incremental contrast pattern mining (CPM) is an important task in various fields such as network traffic analysis, medical diagnos..