1541 matches found
EUVD-2019-6479
Malware in sbrugna...
EUVD-2013-1149
Malware in sbrugna...
EUVD-2013-1148
Malware in sbrugna...
EUVD-2013-1150
Malware in sbrugna...
EUVD-2018-8354
Malware in sbrugna...
EUVD-2013-6769
Malware in sbrugna...
EUVD-2013-6766
Malware in sbrugna...
Towards Reliable and Practical LLM Security Evaluations Via Bayesian Modelling
Before adopting a new large language model LLM architecture, it is critical to understand vulnerabilities accurately. Existing evaluations can be difficult to trust, often drawing conclusions from LLMs that are not meaningfully comparable, relying on heuristic inputs or employing metrics that fai...
OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT
In critical IoT environments, such as smart homes and industrial systems, effective Intrusion Detection Systems IDS are essential for ensuring security. However, developing robust IDS solutions remains a significant challenge. Traditional machine learning-based IDS models typically require large...
Pilot Contamination Attacks Detection with Machine Learning for Multi-User Massive MIMO
Massive multiple-input multiple-output MMIMO is essential to modern wireless communication systems, like 5G and 6G, but it is vulnerable to active eavesdropping attacks. One type of such attack is the pilot contamination attack PCA, where a malicious user copies pilot signals from an authentic us...
EUVD-2025-14120
Malicious code in bioql PyPI...
EUVD-2025-26259
Malicious code in bioql PyPI...
EUVD-2025-24627
Malicious code in bioql PyPI...
EUVD-2025-23367
Malicious code in bioql PyPI...
EUVD-2025-7029
Malicious code in bioql PyPI...
EUVD-2025-24048
Malicious code in bioql PyPI...
EUVD-2025-26251
Malicious code in bioql PyPI...
EUVD-2024-34374
Malicious code in bioql PyPI...