2 papers
cs.CR2025
Risks of Practicing Large Language Models in Smart Grid: Threat Modeling and Validation
Jiangnan Li, Yingyuan Yang, Jinyuan Sun
Large language models (LLMs) represent significant breakthroughs in artificial intelligence and hold potential for applications within smart grids. However, as demonstrated in prev…
cs.CR2025
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid
Farhin Farhad Riya, Shahinul Hoque, Yingyuan Yang +3
Deep Neural Networks have proven to be highly accurate at a variety of tasks in recent years. The benefits of Deep Neural Networks have also been embraced in power grids to detect…