Chathurika S. Wickramasinghe

30 papers C 14Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Editorial: Machine learning for cybersecurity. Frontiers Artif. Intell. Chathurika S. Wickramasinghe, Daniel Marino, Daswin De Silva, Milos Manic
2025	J	`jnl`	Self-Supervised and Interpretable Anomaly Detection Using Network Transformers. IEEE Trans. Ind. Informatics Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic
2025	—	`conf`	V2XFormer: Transformer-Based Anomaly Detection for Vehicle-to-Everything Communication. VTC2025-Spring Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Devin Drake, Milos Manic
2024	C	`conf`	Generative AI in Cyber Security of Cyber Physical Systems: Benefits and Threats. HSI Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Devin Drake, Milos Manic
2023	C	`conf`	Anomaly Detection for In-Vehicle Communication Using Transformers. IECON Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Benny J. Varghese, Timothy D. Pennington, Milos Manic
2023	C	`conf`	DAdAE: Domain Adversarial Autoencoder Based In-Vehicle CAN Anomaly Detection. IECON Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Benny J. Varghese, Timothy D. Pennington, Milos Manic
2023	J	`jnl`	Editorial: Explainable artificial intelligence. Frontiers Comput. Sci. Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe
2023	—	`conf`	Informed Deep Learning for Anomaly Detection in Cyber-Physical Systems. ICIT Victor Cobilean, Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic
2023	—	`conf`	Physical Anomaly Detection in EV Charging Stations: Physics-based vs ResNet AE. ISIE Harindra S. Mavikumbure, Victor Cobilean, Chathurika S. Wickramasinghe, Tyler Phillips, Benny J. Varghese, Barney Carlson, Craig Rieger, Timothy D. Pennington, Milos Manic
2023	J	`jnl`	RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. IEEE Trans. Intell. Transp. Syst. Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic
2022	C	`conf`	Anomaly Detection in Critical-Infrastructures using Autoencoders: A Survey. IECON Harindra S. Mavikumbure, Chathurika S. Wickramasinghe, Daniel L. Marino, Victor Cobilean, Milos Manic
2022	J	`jnl`	RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data. CoRR Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic
2022	J	`jnl`	Self-Supervised and Interpretable Anomaly Detection using Network Transformers. CoRR Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic
2021	J	`jnl`	Data-Driven Correlation of Cyber and Physical Anomalies for Holistic System Health Monitoring. IEEE Access Daniel L. Marino, Chathurika S. Wickramasinghe, Billy Tsouvalas, Craig Rieger, Milos Manic
2021	C	`conf`	Deep Embedded Clustering with ResNets. HSI Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic
2021	J	`jnl`	Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Craig Rieger, Milos Manic
2021	J	`jnl`	ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation. IEEE Access Chathurika S. Wickramasinghe, Daniel L. Marino, Milos Manic
2021	J	`jnl`	The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. IEEE Access Daniel L. Marino, Chathurika S. Wickramasinghe, Vivek Kumar Singh, Jake Gentle, Craig Rieger, Milos Manic
2020	C	`conf`	AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation. HSI Daniel L. Marino, Javier Grandio, Chathurika S. Wickramasinghe, Kyle Schroeder, Keith Bourne, Afroditi V. Filippas, Milos Manic
2020	C	`conf`	Trustworthy AI Development Guidelines for Human System Interaction. HSI Chathurika S. Wickramasinghe, Daniel L. Marino, Javier Grandio, Milos Manic
2019	C	`conf`	Data Driven Hourly Taxi Drop-offs Prediction using TLC Trip Record Data. HSI Chathurika S. Wickramasinghe, Daniel L. Marino, Fatih Yucel, Eyuphan Bulut, Milos Manic
2019	C	`conf`	Data-driven Stochastic Anomaly Detection on Smart-Grid communications using Mixture Poisson Distributions. IECON Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger, Milos Manic
2019	J	`jnl`	Deep Self-Organizing Maps for Unsupervised Image Classification. IEEE Trans. Ind. Informatics Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic
2019	C	`conf`	Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets. HSI Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Zachary A. Spielman, Ira E. Pray, David Gertman, Milos Manic
2019	C	`conf`	Machine Learning for Deep Brain Stimulation Efficacy using Dense Array EEG. HSI Morgan Stuart, Chathurika S. Wickramasinghe, Daniel L. Marino, Deepak Kumbhare, Kathryn Holloway, Milos Manic
2018	C	`conf`	An Adversarial Approach for Explainable AI in Intrusion Detection Systems. IECON Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic
2018	J	`jnl`	An Adversarial Approach for Explainable AI in Intrusion Detection Systems. CoRR Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic
2018	C	`conf`	Deep Self-Organizing Maps for Visual Data Mining. HSI Chathurika S. Wickramasinghe, Kasun Amarasinghe, Daniel L. Marino, Milos Manic
2018	C	`conf`	Generalization of Deep Learning for Cyber-Physical System Security: A Survey. IECON Chathurika S. Wickramasinghe, Daniel L. Marino, Kasun Amarasinghe, Milos Manic
2017	—	`conf`	Parallalizable deep self-organizing maps for image classification. SSCI Chathurika S. Wickramasinghe, Kasun Amarasinghe, Milos Manic