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cs.LG2025
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
Lorenzo Guerra, Thomas Chapuis, Guillaume Duc +2
Detecting intrusions in network traffic is a challenging task, particularly under limited supervision and constantly evolving attack patterns. While recent works have leveraged gra…
cs.LG2021★ 1 cited
Fast Exploration of Weight Sharing Opportunities for CNN Compression
Etienne Dupuis, David Novo, Ian O'Connor +1
The computational workload involved in Convolutional Neural Networks (CNNs) is typically out of reach for low-power embedded devices. There are a large number of approximation tech…