2 papers
cs.CR2026
WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code
Kobra Khanmohammadi, Pooria Roy, Raphael Khoury +4
LLM models are increasingly used to generate code, but the quality and security of this code are often uncertain. Several recent studies have raised alarm bells, indicating that su…
cs.CR2026
Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks
Nasim Soltani, Shayan Nejadshamsi, Zakaria Abou El Houda +4
Adversarial examples can represent a serious threat to machine learning (ML) algorithms. If used to manipulate the behaviour of ML-based Network Intrusion Detection Systems (NIDS),…