2 papers
cs.CR2026
Improving Generalization on Cybersecurity Tasks with Multi-Modal Contrastive Learning
Jianan Huang, Rodolfo V. Valentim, Luca Vassio +4
The use of ML in cybersecurity has long been impaired by generalization issues: Models that work well in controlled scenarios fail to maintain performance in production. The root c…
cs.NI2025
IoT-AMLHP: Aligned Multimodal Learning of Header-Payload Representations for Resource-Efficient Malicious IoT Traffic Classification
Fengyuan Nie, Guangjie Liu, Weiwei Liu +2
Traffic classification is crucial for securing Internet of Things (IoT) networks. Deep learning-based methods can autonomously extract latent patterns from massive network traffic,…