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most citedAdaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection

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cs.LG2025

Evaluating LLaMA 3.2 for Software Vulnerability Detection

José Gonçalves, Miguel Silva, Bernardo Cabral +5

Deep Learning (DL) has emerged as a powerful tool for vulnerability detection, often outperforming traditional solutions. However, developing effective DL models requires large amo…