16 citations · 56 across the 25 of their papers we have counts for
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cs.CR2020★ 11 cited
Bridging the Performance Gap between FGSM and PGD Adversarial Training
Tianjin Huang, Vlado Menkovski, Yulong Pei +1
Deep learning achieves state-of-the-art performance in many tasks but exposes to the underlying vulnerability against adversarial examples. Across existing defense techniques, adve…
cs.LG2020★ 7 cited
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks
Yulong Pei, Tianjin Huang, Werner van Ipenburg +1
Effectively detecting anomalous nodes in attributed networks is crucial for the success of many real-world applications such as fraud and intrusion detection. Existing approaches h…