EUVD-2015-3043

Malware in sbrugna...

EUVD-2021-26936

Malware in sbrugna...

EUVD-2019-18315

Malware in sbrugna...

EUVD-2005-3521

Malware in sbrugna...

EUVD-2019-16969

Malware in sbrugna...

EUVD-2014-9195

Malware in sbrugna...

EUVD-2019-18314

Malware in sbrugna...

EUVD-2019-18317

Malware in sbrugna...

EUVD-2016-10034

Malware in sbrugna...

EUVD-2016-1545

Malware in sbrugna...

EUVD-2015-4438

Malware in sbrugna...

EUVD-2017-12943

Malware in sbrugna...

EUVD-2019-18316

Malware in sbrugna...

EUVD-2019-16965

Malware in sbrugna...

EUVD-2019-16968

Malware in sbrugna...

EUVD-2019-16964

Malware in sbrugna...

EUVD-2020-24763

Malware in sbrugna...

EUVD-2019-16967

Malware in sbrugna...

EUVD-2024-52971

Malicious code in bioql PyPI...

Self-Supervised Learning of Graph Representations for Network Intrusion Detection

Detecting intrusions in network traffic is a challenging task, particularly under limited supervision and constantly evolving attack patterns. While recent works have leveraged graph neural networks for network intrusion detection, they often decouple representation learning from anomaly detectio...