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Found 4 papers, 2 papers with code
Deep Temporal Contrastive Clustering
Recently the deep learning has shown its advantage in representation learning and clustering for time series data.
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications
Experimental results show that DeepAID can provide high-quality interpretations for unsupervised DL models while meeting the special requirements of security domains.
A System for Worldwide COVID-19 Information Aggregation
The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education.
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors
Many adversarial attacks have been proposed to evaluate the robustness of ML-based NIDSs.
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