Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Pirch, Lukas"'
Autor:
Bareeva, Dilyara, Höhne, Marina M. -C., Warnecke, Alexander, Pirch, Lukas, Müller, Klaus-Robert, Rieck, Konrad, Bykov, Kirill
Deep Neural Networks (DNNs) are capable of learning complex and versatile representations, however, the semantic nature of the learned concepts remains unknown. A common method used to explain the concepts learned by DNNs is Feature Visualization (FV
Externí odkaz:
http://arxiv.org/abs/2401.06122
Removing information from a machine learning model is a non-trivial task that requires to partially revert the training process. This task is unavoidable when sensitive data, such as credit card numbers or passwords, accidentally enter the model and
Externí odkaz:
http://arxiv.org/abs/2108.11577
Machine learning-based systems for malware detection operate in a hostile environment. Consequently, adversaries will also target the learning system and use evasion attacks to bypass the detection of malware. In this paper, we outline our learning-b
Externí odkaz:
http://arxiv.org/abs/2010.09569