DynPen: Automated Penetration Testing in Dynamic Network Scenarios Using Deep Reinforcement Learning
Abstract: Penetration testing, a crucial industrial practice for securing networked systems and infrastructures, has traditionally depended on the extensive expertise of human professionals.
Abstract: In this paper, Facial Emotion detection model, built using Uniform Local Binary Pattern, is explained using an application i.e., Student behavior detection. Student engagement is a critical ...
A/B Test Advanced Toolkit is an experimental Python library designed for advanced A/B testing analysis. It leverages statistical techniques and machine learning, including variance reduction through ...
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