2 papers
cs.LG2026
Stochastic Voronoi Ensembles for Anomaly Detection
Yang Cao, Sikun Yang, Xuyun Zhang +1
Anomaly detection aims to identify data instances that deviate significantly from majority of data, which has been widely used in fraud detection, network security, and industrial…
cs.CR2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
Jian-Ping Mei, Weibin Zhang, Jie Chen +2
Malicious users attempt to replicate commercial models functionally at low cost by training a clone model with query responses. It is challenging to timely prevent such model-steal…