IEEE

A Correlation-Aware Diffusion Model for Multivariate Time Series Anomaly Detection with Missing Values

Abstract: Incomplete time series data is a common problem in real-world application scenarios. Recent research has taken the approach of separating interpolation and anomaly detection, which is not ...
IEEE

Securing Federated Learning Against Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection on Local Updates

Abstract: Current defense mechanisms against model poisoning attacks in federated learning (FL) systems have proven effective up to a certain threshold of malicious clients (e.g., 25% to 50%). In this ...