A convolutional neural-based learning classifier system for detecting database intrusion via insider attack

Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders

A Transformer network calibrated with fuzzy logic for phishing URL detection

Wi-Fi-enabled Vision via Spatially-variant Pose Estimation based on Convolutional Transformer Network

Triplet-style Dynamic Graph Network with Transformer Encoder for Scam Detection in Cryptocurrency Transactions

Proximal Policy-Guided Hyperparameter Optimization for Mitigating Model Decay in Cryptocurrency Scam Detection

Reinforced Disentangled HTML Representation Learning with Hard-Sample Mining for Phishing Webpage Detection

Practical Adversarial Attacks Imperceptible to Humans in Visual Recognition

Disentangled Prototype-Guided Dynamic Memory Replay for Continual Learning in Acoustic Signal Classification

Deep Generative Replay With Denoising Diffusion Probabilistic Models for Continual Learning in Audio Classification