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Journal Articles
- 2023
[j1]Angel Chavez, Parker Le, Derek Lin, Daphne Der-Fen Liu, Mason Shurman:
Antimagic labeling for unions of graphs with many three-paths. Discret. Math. 346(6): 113356 (2023)
Conference and Workshop Papers
- 2022
- [c10]Derek Lin:
MATE: Summarizing Alerts to Interpretable Outcomes with MITRE ATT&CK. IEEE Big Data 2022: 4295-4302 - 2020
- [c9]Derek Lin, Anying Li, Ryan Foltz:
BEAM: An Anomaly-Based Threat Detection System for Enterprise Multi-Domain Data. IEEE BigData 2020: 2610-2618 - [c8]Derek Lin, Jun-Yu Yang, Shi-Yu Huang:
A Voting Phase Detector Design with Mitigated Process Variation. ISOCC 2020: 91-92 - 2018
- [c7]Anying Li, Derek Lin:
Generating Interpretable Network Asset Clusters For Security Analytics. IEEE BigData 2018: 2972-2979 - [c6]Derek Lin, Baoming Tang:
Detecting unmanaged and unauthorized devices on the network with long short-term memory network. IEEE BigData 2018: 2980-2985 - 2017
- [c5]Qiaona Hu, Baoming Tang, Derek Lin:
Anomalous User Activity Detection in Enterprise Multi-source Logs. ICDM Workshops 2017: 797-803 - [c4]Baoming Tang, Qiaona Hu, Derek Lin:
Reducing False Positives of User-to-Entity First-Access Alerts for User Behavior Analytics. ICDM Workshops 2017: 804-811 - 2015
- [c3]Liang Shi, Derek Lin, Chunsheng Victor Fang, Yan Zhai:
A Hybrid Learning from Multi-behavior for Malicious Domain Detection on Enterprise Network. ICDM Workshops 2015: 987-996 - [c2]Teng Wang, Chunsheng Victor Fang, Derek Lin, Shyhtsun Felix Wu:
Localizing Temporal Anomalies in Large Evolving Graphs. SDM 2015: 927-935 - 2014
- [c1]Derek Lin, Rashmi Raghu, Vivek Ramamurthy, Jin Yu, Regunathan Radhakrishnan, Joseph Fernandez:
Unveiling clusters of events for alert and incident management in large-scale enterprise it. KDD 2014: 1630-1639
Coauthor Index
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