AutoML in Cybersecurity: An Empirical Study

Automated machine learning AutoML has emerged as a promising paradigm for automating machine learning ML pipeline design, broadening AI adoption. Yet its reliability in complex domains such as cybersecurity remains underexplored. This paper systematically evaluates eight open-source AutoML...

FAME: a Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap Deepfakes

The widespread emergence of face-swap Deepfake videos poses growing risks to digital security, privacy, and media integrity, necessitating effective forensic tools for identifying the source of such manipulations. Although most prior research has focused primarily on binary Deepfake detection, th...

Spring Boot CDS support and Project Leyden anticipation

How can Spring Boot developers improve the runtime efficiency of their applications with minimal constraints in order to enjoy those benefits on most applications? The answer is the CDS support introduced by Spring Boot 3.3 which allows you to start your Spring Boot applications faster and consum...

Runtime efficiency with Spring (today and tomorrow)

With Spring Framework 6.1 and Spring Boot 3.2 general availability approaching, we would like to share an overview about several efforts the Spring team is pursuing to allow developers to optimize the runtime efficiency of their applications. We are going to cover the following technologies and u...