Darknet traffic big-data analysis and network management for real-time automating of the malicious intent detection process by a weight agnostic neural networks …
Attackers are perpetually modifying their tactics to avoid detection and frequently leverage
legitimate credentials with trusted tools already deployed in a network environment, making …
legitimate credentials with trusted tools already deployed in a network environment, making …
Darknet traffic analysis and network management for malicious intent detection by neural network frameworks
Security breaches may be difficult to detect because attackers are continually tweaking
methods to evade detection and utilize legitimate credentials that have already been …
methods to evade detection and utilize legitimate credentials that have already been …
An entropy metric for regular grammar classification and learning with recurrent neural networks
Recently, there has been a resurgence of formal language theory in deep learning research.
However, most research focused on the more practical problems of attempting to represent …
However, most research focused on the more practical problems of attempting to represent …
Deep learning, grammar transfer, and transportation theory
K Zhang, Q Wang, C Lee Giles - … 2020, Ghent, Belgium, September 14–18 …, 2021 - Springer
Despite its widespread adoption and success, deep learning-based artificial intelligence is
limited in providing an understandable decision-making process of what it does. This makes …
limited in providing an understandable decision-making process of what it does. This makes …
[图书][B] A Representation-Based Approach to Connect Regular Grammar and Deep Learning
K Zhang - 2021 - search.proquest.com
Formal language theory has brought amazing breakthroughs in many traditional areas,
including control systems, compiler design, and model verification, and continues promoting …
including control systems, compiler design, and model verification, and continues promoting …