OFFENSIVE SECURITY: TOWARDS PROACTIVE THREAT HUNTING VIA ADVERSARY EMULATION


Probabilistic programming in Python using PyMC3

Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic models.Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference on increasingly complex models.This Bar Stools class of MCMC, known as Hamiltonian Monte Carlo, requires gradient information which is often not readily available.PyMC3 is

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Assessment of Offshore Wave Energy Potential in the Croatian Part of the Adriatic Sea and Comparison with Wind Energy Potential

The European Union is a leading patron for the introduction of renewable energy, having set a target that renewable sources will represent at least 27% of total energy consumption by the year 2030.Presently, the most significant Croatian renewable resource is hydropower, which is presently at its peak and will not develop further because of limited

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Self-awareness Process According to Avicenna

The quality of the perception of nature has not been analyzed in detail in the works of Avicenna.By analyzing his theoretical principles in the analysis of perception Candleholder process, it becomes clear that the phenomenon of sense in the stage of the animal soul as the source of knowledge (perception from the senses) and science (perception fro

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