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cs.LG2021
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
Honggang Yu, Shihfeng Zeng, Teng Zhang +2
Machine learning researchers have long noticed the phenomenon that the model training process will be more effective and efficient when the training samples are densely sampled aro…
eess.SY2021
CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks
Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou +1
The reliable operation of power grid is supported by energy management systems (EMS) that provide monitoring and control functionalities. Contingency analysis is a critical applica…