Using multimodal deep learning to detect malicious traffic with noisy labels
The success of a deep learning-based network intrusion detection systems (NIDS) relies on large-scale, labeled, realistic traffic. However, automated labeling ...
The success of a deep learning-based network intrusion detection systems (NIDS) relies on large-scale, labeled, realistic traffic. However, automated labeling ...
NYU Tandon School of Engineering researchers will develop new technologies to secure the “digital legal supply chain” — the processes ...
Earthquakes, resulting from the collision of tectonic plates, are widely recognized as natural occurrences, and extensive scientific knowledge exists in ...
With the ever-increasing importance of the Internet in our lives, there are growing attempts to exploit software vulnerabilities in our ...
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