most citedLESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection

96 citations · 96 across the 2 of their papers we have counts for

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2 papers

eess.SY2025

HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management

Jiadong He, Liang Yu, Zhiqiang Chen +6

This letter proposes an Adversarial Inverse Reinforcement Learning (AIRL)-based energy management method for a smart home, which incorporates an implicit thermal dynamics model. In…

cs.CR2024★ 96 cited

LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection

Jiwei Tian, Chao Shen, Buhong Wang +4

Deep learning methods can not only detect false data injection attacks (FDIA) but also locate attacks of FDIA. Although adversarial false data injection attacks (AFDIA) based on de…