Erfani, Sarah M.

11 publications

AAAI 2023 Enhancing the Antidote: Improved Pointwise Certifications Against Poisoning Attacks Shijie Liu, Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein

IJCAI 2021 Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein

AAAI 2021 Detecting Beneficial Feature Interactions for Recommender Systems Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu

IJCAI 2021 UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau

IJCAI 2019 SynthNet: Learning to Synthesize Music End-to-End Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey

ICLR 2018 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey

AAAI 2018 Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri

IJCAI 2018 Predicting Complex Activities from Ongoing Multivariate Time Series Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri

AAAI 2017 From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

IJCAI 2016 Robust Domain Generalisation by Enforcing Distribution Invariance Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

AAAI 2015 R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, Christopher Leckie