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Sandamal Weerasinghe
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2020 – today
- 2022
- [c4]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 - 2021
- [j2]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) - [c3]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 - [i3]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein:
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR abs/2109.11803 (2021) - 2020
- [i2]Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz:
Defending Regression Learners Against Poisoning Attacks. CoRR abs/2008.09279 (2020) - [i1]Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie:
Defending Distributed Classifiers Against Data Poisoning Attacks. CoRR abs/2008.09284 (2020)
2010 – 2019
- 2019
- [b1]Sandamal Weerasinghe:
Novel Defenses Against Data Poisoning in Adversarial Machine Learning. University of Melbourne, Parkville, Victoria, Australia, 2019 - [j1]Sandamal Weerasinghe
, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
:
Support vector machines resilient against training data integrity attacks. Pattern Recognit. 96 (2019) - 2018
- [c2]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 - [c1]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
Coauthor Index
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