Anomaly detection in event logs is a promising approach for intrusion detection in enterprise networks. By building a statistical model...
Although machine learning is widely used in practice, little is known about practitioners' understanding of potential security challenges. In this...
Although machine learning is widely used in practice, little is known about practitioners' understanding of potential security challenges. In this...
Security issues have gradually emerged with the continuous development of artificial intelligence (AI). Earlier work verified the possibility of converting...
Security issues have gradually emerged with the continuous development of artificial intelligence (AI). Earlier work verified the possibility of converting...
Machine learning (ML) has been pervasively researched nowadays and it has been applied in many aspects of real life. Nevertheless,...
Machine learning (ML) has been pervasively researched nowadays and it has been applied in many aspects of real life. Nevertheless,...
A Medical Body Area Network (MBAN) is an ensemble of collaborating, potentially heterogeneous, medical devices located inside, on the surface...
A Medical Body Area Network (MBAN) is an ensemble of collaborating, potentially heterogeneous, medical devices located inside, on the surface...
Data poisoning attacks aim at manipulating model behaviors through distorting training data. Previously, an aggregation-based certified defense, Deep Partition Aggregation...
