Justin Albrethsen

According to our database, Justin Albrethsen authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DeepContext: Stateful Real-Time Detection of Multi-Turn Adversarial Intent Drift in LLMs.

Justin Albrethsen, Yash Datta, Kunal Kumar, Sharath Rajasekar

CoRR, February, 2026

2024

Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction.

Junhua Liu, Justin Albrethsen, Lincoln Goh, David K. Y. Yau, Kwan Hui Lim

Proceedings of the International Joint Conference on Neural Networks, 2024

Water Pump Operation Optimization under Dynamic Market and Consumer Behaviour.

Carmen Cheh, Justin Albrethsen, Zhen Wei Ng, Binbin Chen, Xin Lou, Zaki Masood, David K. Y. Yau

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2023

A Framework for Generating Attack Samples in Power Energy System using VAEs.

Tran L. T. Le, David K. Y. Yau, Justin Albrethsen

Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2023

2021

Defense against Power System Time Delay Attacks via Attention-based Multivariate Deep Learning.

Shahram Ghahremani, Rajvir Sidhu, David K. Y. Yau, Ngai-Man Cheung, Justin Albrethsen

Proceedings of the IEEE International Conference on Communications, 2021

Vulnerability Assessment of False Data Injection Attacks on Optimal Power Flow.

Rajvir Kaur, Justin Albrethsen, David K. Y. Yau, Shahram Ghahremani

Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

Time Delay Attack Detection Using Recurrent Variational Autoencoder and K-means Clustering.

Shahram Ghahremani, David K. Y. Yau, Justin Albrethsen, Rajvir Sidhu, Ngai-Man Cheung

Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021