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03/19/2023
iRogue: Identifying Rogue Behavior from App Reviews
An app user can access information of other users or third parties. We d...
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02/04/2023
FGSI: Distant Supervision for Relation Extraction method based on Fine-Grained Semantic Information
The main purpose of relation extraction is to extract the semantic relat...
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10/21/2022
Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection
The COVID pandemic has led to the wide adoption of online video calls in...
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03/07/2022
Bayesian Mendelian randomization testing of interval causal null hypotheses: ternary decision rules and loss function calibration
Our approach to Mendelian Randomization (MR) analysis is designed to inc...
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12/15/2021
Bayesian Mendelian randomization with study heterogeneity and data partitioning for large studies
Background: Mendelian randomization (MR) is a useful approach to causal ...
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05/19/2021
Hunter in the Dark: Discover Anomalous Network Activity Using Deep Ensemble Network
Machine learning (ML)-based network intrusion detection system (NIDS) pl...
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04/16/2021
Holmes: An Efficient and Lightweight Semantic Based Anomalous Email Detector
Email threat is a serious issue for enterprise security, which consists ...
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10/23/2020
DualNet: Locate Then Detect Effective Payload with Deep Attention Network
Network intrusion detection (NID) is an essential defense strategy that ...
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08/05/2020
Densely Connected Residual Network for Attack Recognition
High false alarm rate and low detection rate are the major sticking poin...
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07/20/2020
Overlapping-sample Mendelian randomisation with multiple exposures: A Bayesian approach
Background: Mendelian randomization (MR) has been widely applied to caus...
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01/19/2020
Pelican: A Deep Residual Network for Network Intrusion Detection
One challenge for building a secure network communication environment is...
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09/22/2019
LuNet: A Deep Neural Network for Network Intrusion Detection
Network attack is a significant security issue for modern society. From ...
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09/05/2019