Sandamal Weerasinghe

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 9

Top Topics

Countermeasures

Intrinsic Dimensionality

Top Venues

Pattern Recognit.

IEEE Trans. Inf. Forensics Secur.

Publications

Sandamal Weerasinghe, Tamas Abraham, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CDC (2022)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie, Benjamin I. P. Rubinstein
Local Intrinsic Dimensionality Signals Adversarial Perturbations. CoRR (2021)
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)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
Defending Support Vector Machines Against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie
Defending Distributed Classifiers Against Data Poisoning Attacks. CoRR (2020)
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz
Defending Regression Learners Against Poisoning Attacks. CoRR (2020)
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie
Support vector machines resilient against training data integrity attacks. Pattern Recognit. 96 (2019)
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)
Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Jack Riddle
Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning. LCN (2018)