The hierarchical nature of problem formulation allows us to employ the class conditioned auto-encoders to construct a hierarchical intrusion detection framework. Since the reconstruction errors of ...

The 246-164 vote came a day after Republicans, joined by a few Democrats, voted to block California from requiring ... which means that it could shift the entire U.S. auto industry toward electric ...

Google is updating its scam text detection technology to spot hoaxes ... a “likely scam” with the option to either report and block the number, or tell Google it isn’t a scam.

Its AI-powered scam detection systems have helped to catch 20 times more scammy pages, Google says. For example, Google has seen an increase in bad actors impersonating airline customer service ...

Abstract: Anomaly detection aims to identify patterns and events that ... To address this, we propose a novel neural network architecture/model, called Dual-Decoder Variational Auto-Encoder (DDVAE) ...

The adders and multipliers will help both the encoding and decoding processes. The encoder block diagram shows that one input to each multiplier is a constant field element, which is a coefficient of ...

Even though advanced Machine Learning (ML) techniques have been adopted for DDoS detection, the attack remains a major threat of the Internet. Most of the existing ML-based DDoS detection approaches ...

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