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
D-ADD: An Effective Plug-In for Defending Against Model Stealing
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. Timely prevention of such model-stealing attacks is…