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cs.LG2026
Learning with Conflicts of Interest
Nischal Aryal, Arash Termehchy, Ali Vakilian +1
Financial, social, and political factors often prevent the interests of the owners of ML systems and services and their users from being perfectly aligned. ML systems often produce…
cs.LG2024
Unleashing the Power of Unlabeled Data: A Self-supervised Learning Framework for Cyber Attack Detection in Smart Grids
Hanyu Zeng, Pengfei Zhou, Xin Lou +3
Modern power grids are undergoing significant changes driven by information and communication technologies (ICTs), and evolving into smart grids with higher efficiency and lower op…