GitHub

TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault Diagnosis

An official implementation of paper: TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault Diagnosis. The pre-trained feature encoders are also ...
IEEE

ADMM-based Adversarial False Data Injection Attacks against Multi-Label Locational Detection

Abstract: While multi-label learning has shown excellent performance in False Data Injection Attack (FDIA) locational detection, it has also exposed some potential security risks and vulnerabilities.
IEEE

Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph Using Data Distribution

Abstract: Graph-based semi-supervised learning methods have been used in a wide range of real-world applications, e.g., from social relationship mining to multimedia classification and retrieval.
HuffPost

Researcher Who Has Distorted Voter Data Appointed To Homeland Security Election Integrity Role

Pennsylvania activist Heather Honey is now serving as the deputy assistant secretary for election integrity in the department’s Office of Strategy, Policy and Plans, an organizational chart on its ...
HuffPost

DOGE Minions Created Dangerous Live Copy Of Social Security Data, Whistleblower Claims

Acolytes of former White House adviser Elon Musk ignored privacy warnings and mishandled sensitive Social Security information, according to a whistleblower complaint filed Tuesday. Officials from the ...