Security vendors and their customers have spent considerable time debating where to draw the line between “legitimate” AI agents and “malicious” bots. A 31-day campaign against a major consumer ...

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Abstract: The more the advanced image making tools become accessible, the more image forgery is proliferated in hardware and software across all these domains – forensics, journalism, authentication, ...

pyCLAD is a unified framework for continual anomaly detection. Its main goal is to foster successful scientific development in continual anomaly detection by providing robust implementations of ...

Pandas is a robust data manipulation library that offers high-performance, user-friendly data structures and analytical tools in Python. Pandas enables users to import, clean, transform, and analyze ...

Our software paper and benchmark paper are publicly available. If you use PyGOD or BOND in a scientific publication, we would appreciate citations to the following papers: @article{JMLR:v25:23-0963, ...