3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Revisiting Graph Contrastive Learning for Anomaly Detection
Zhiyuan Liu, Chunjie Cao, Fangjian Tao +1
Combining Graph neural networks (GNNs) with contrastive learning for anomaly detection has drawn rising attention recently. Existing graph contrastive anomaly detection (GCAD) meth…
cs.CR2022★ 3 cited
FishFuzz: Throwing Larger Nets to Catch Deeper Bugs
Han Zheng, Jiayuan Zhang, Yuhang Huang +6
Greybox fuzzing is the de-facto standard to discover bugs during development. Fuzzers execute many inputs to maximize the amount of reached code. Recently, Directed Greybox Fuzzers…