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Self-paced and Reweighting PU Learning for Imbalanced Malicious Traffic Detection., , , and . GLOBECOM, page 6018-6023. IEEE, (2023)Sherlock on Specs: Building LTE Conformance Tests through Automated Reasoning., , , , , , , and . USENIX Security Symposium, page 3529-3545. USENIX Association, (2023)DeepGFL: Deep Feature Learning via Graph for Attack Detection on Flow-Based Network Traffic., , and . MILCOM, page 579-584. IEEE, (2018)Understanding the Influence of Graph Kernels on Deep Learning Architecture: A Case Study of Flow-Based Network Attack Detection., , , and . TrustCom/BigDataSE, page 312-318. IEEE, (2019)Towards Comprehensive Detection of DNS Tunnels., , , , , and . ISCC, page 1-7. IEEE, (2020)Marrying Graph Kernel with Deep Neural Network: A Case Study for Network Anomaly Detection., , , , and . ICCS (2), volume 11537 of Lecture Notes in Computer Science, page 102-115. Springer, (2019)Analysis of the performance and robustness of methods to detect base locations of individuals with geo-tagged social media data., , , , , and . Int. J. Geogr. Inf. Sci., 35 (3): 609-627 (2021)Towards Network Anomaly Detection Using Graph Embedding., , , , , and . ICCS (4), volume 12140 of Lecture Notes in Computer Science, page 156-169. Springer, (2020)Bookworm Game: Automatic Discovery of LTE Vulnerabilities Through Documentation Analysis., , , , , , , , and . SP, page 1197-1214. IEEE, (2021)Hierarchical Clustering Based Network Traffic Data Reduction for Improving Suspicious Flow Detection., , , , , and . TrustCom/BigDataSE, page 744-753. IEEE, (2018)