5 citations · 7 across the 4 of their papers we have counts for
5 papers
Masked Diffusion Modeling for Anomaly Detection
Lixing Zhang, Yuchen Liang, Liyan Xie
Anomaly detection aims to identify samples that deviate from the nominal data distribution and is central to many safety-critical applications. However, developing effective anomal…
Sequential Change Detection for Multiple Data Streams with Differential Privacy
Lixing Zhang, Liyan Xie, Ruizhi Zhang
Sequential change-point detection seeks to rapidly identify distributional changes in streaming data while controlling false alarms. Existing multi-stream detection methods typical…
Learning to Test: Latent Representation Learning for Dynamic Instability Detection
Minxing Zheng, Zewei Deng, Liyan Xie +1
Stability assessment is central to safety-critical systems governed by differential-algebraic equations (DAEs), whose dynamics are constrained by physical laws and admissibility co…
Sequential Change Detection with Differential Privacy
Liyan Xie, Ruizhi Zhang
Sequential change detection is a fundamental problem in statistics and signal processing, with the CUSUM procedure widely used to achieve minimax detection delay under a prescribed…
Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits
Mohamed Seif, Liyan Xie, Andrea J. Goldsmith +1
We study the private online change detection problem for dynamic communities, using a censored block model (CBM). We consider edge differential privacy (DP) in both local and centr…