Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

The Russia-linked state-sponsored threat actor known as APT28 (aka UAC-0001) has been attributed to attacks exploiting a newly disclosed security flaw in Microsoft Office as part of a campaign ...

Two newly uncovered malware campaigns are exploiting open-source software across Windows and Linux environments to target enterprise executives and cloud systems, signaling a sharp escalation in both ...

Infostealer threats are rapidly expanding beyond traditional Windows-focused campaigns, increasingly targeting macOS environments, leveraging cross-platform languages such as Python, and abusing ...

Google-owned Mandiant on Friday said it identified an "expansion in threat activity" that uses tradecraft consistent with extortion-themed attacks orchestrated by a financially motivated hacking group ...

Sync databases from and to remote systems via SSH Proxy mode for transfers between isolated environments Automatic credential extraction from PHP frameworks ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.