Task-Aware Machine Unlearning and Its Application in Load Forecasting von Xu, Wangkun, Teng, Fei

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Robust Moving Target Defence Against False Data Injection Attacks in Power Grids von Xu, Wangkun, Jaimoukha, Imad M., Teng, Fei

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Blending data and model for robust and secure power system operation von Xu, Wangkun

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Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market von Bellizio, Federica, Xu, Wangkun, Qiu, Dawei, Ye, Yujian, Papadaskalopoulos, Dimitrios, Cremer, Jochen L., Teng, Fei, Strbac, Goran

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Cyber–physical risk assessment for false data injection attacks considering moving target defences: Best practice application of respective cyber and physical reinforcement assets... von Higgins, Martin, Xu, Wangkun, Teng, Fei, Parisini, Thomas

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Cyber–physical risk assessment for false data injection attacks considering moving target defences von Higgins, Martin, Xu, Wangkun, Teng, Fei, Parisini, Thomas

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Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach von Xu, Wangkun, Higgins, Martin, Wang, Jianhong, Jaimoukha, Imad M., Teng, Fei

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Task-Aware Machine Unlearning and Its Application in Load Forecasting von Xu, Wangkun, Teng, Fei

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Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting von Xu, Wangkun, Teng, Fei

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A Deep Learning based Detection Method for Combined Integrity-Availability Cyber Attacks in Power System von Xu, Wangkun, Teng, Fei

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E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning von Xu, Wangkun, Wang, Jianhong, Teng, Fei

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Task-Aware Machine Unlearning and Its Application in Load Forecasting von Xu, Wangkun, Teng, Fei

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On the Incorporation of Stability Constraints into Sequential Operational Scheduling von Xu, Wangkun, Chu, Zhongda, Capitanescu, Florin, Teng, Fei

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Robust Moving Target Defence Against False Data Injection Attacks in Power Grids von Xu, Wangkun, Jaimoukha, Imad M, Teng, Fei

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Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation von Xu, Wangkun, Chen, Qian, Ge, Pudong, Chu, Zhongda, Teng, Fei

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Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting von Xu, Wangkun, Teng, Fei

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A Deep Learning based Detection Method for Combined Integrity-Availability Cyber Attacks in Power System von Xu, Wangkun, Teng, Fei

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Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization von Buffelli, Davide, McGowan, Jamie, Xu, Wangkun, Cioba, Alexandru, Shiu, Da-shan, Hennequin, Guillaume, Bernacchia, Alberto

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Assessing the Efficacy of IoT-based Forest Fire Detection: a Practical Use Case von Anthony, Belcher, A, Esteva Miguel, Anthea, Lam, Rizki, Ramadhani, Achmad, Rayhan, Wangkun, Xu, Daphne, Tuncer

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Cyber-Physical Risk Assessment for False Data Injection Attacks Considering Moving Target Defences von Higgins, Martin, Xu, Wangkun, Teng, Fei, Parisini, Thomas

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