Chathurika S. Wickramasinghe

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Machine Learning

Anomaly Detection

Visual Data Mining

Top Venues

Publications

Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Devin Drake, Milos Manic
Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats. HSI (2024)
Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Benny J. Varghese, Timothy D. Pennington, Milos Manic
DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection. IECON (2023)
Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Tyler Phillips, Benny J. Varghese, Barney Carlson, Craig Rieger, Timothy D. Pennington, Milos Manic
Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. ISIE (2023)
Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Benny J. Varghese, Timothy D. Pennington, Milos Manic
Anomaly Detection for In-Vehicle Communication Using Transformers. IECON (2023)
Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic
RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe
Editorial: Explainable artificial intelligence. Frontiers Comput. Sci. 5 (2023)
Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic
Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems. ICIT (2023)
Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic
Self-Supervised and Interpretable Anomaly Detection using Network Transformers. CoRR (2022)
Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Victor Cobilean, Milos Manic
Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. IECON (2022)
Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data. CoRR (2022)
Daniel L. Marino, Chathurika S. Wickramasinghe, Billy Tsouvalas, Craig Rieger, Milos Manic
Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. IEEE Access 9 (2021)
Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic
ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation. IEEE Access 9 (2021)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Craig Rieger, Milos Manic
Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access 9 (2021)
Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic
Deep Embedded Clustering with ResNets. HSI (2021)
Daniel L. Marino, Chathurika S. Wickramasinghe, Vivek Kumar Singh, Jake Gentle, Craig Rieger, Milos Manic
The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. IEEE Access 9 (2021)
Daniel L. Marino, Javier Grandio, Chathurika S. Wickramasinghe, Kyle Schroeder, Keith Bourne, Afroditi V. Filippas, Milos Manic
AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation. HSI (2020)
Chathurika S. Wickramasinghe, Daniel L. Marino, Javier Grandio, Milos Manic
Trustworthy AI Development Guidelines for Human System Interaction. HSI (2020)
Morgan Stuart, Chathurika S. Wickramasinghe, Daniel L. Marino, Deepak Kumbhare, Kathryn Holloway, Milos Manic
Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG. HSI (2019)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic
Deep Self-Organizing Maps for Unsupervised Image Classification. IEEE Trans. Ind. Informatics 15 (11) (2019)
Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic
Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. IECON (2019)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Zachary A. Spielman, Ira E. Pray, David Gertman, Milos Manic
Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets. HSI (2019)
Chathurika S. Wickramasinghe, Daniel L. Marino, Fatih Yucel, Eyuphan Bulut, Milos Manic
Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data. HSI (2019)
Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe, Milos Manic
Generalization of Deep Learning for Cyber-Physical System Security: A Survey. IECON (2018)
Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic
An Adversarial Approach for Explainable AI in Intrusion Detection Systems. IECON (2018)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Milos Manic
Deep Self-Organizing Maps for Visual Data Mining. HSI (2018)
Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic
An Adversarial Approach for Explainable AI in Intrusion Detection Systems. CoRR (2018)
Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic
Parallalizable deep self-organizing maps for image classification. SSCI (2017)