Robuta

https://nij.ojp.gov/library/publications/adversarial-autoencoder-data-synthesis-enhancing-machine-learning-based Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-Based Phishing Detection... This study demonstrates how to implement classifiers with higher performance and more resistance to adversarial attacks using two Generative Adversarial... adversarial autoencodermachine learningphishing detectiondatasynthesis https://liner.com/review/data-augmentation-based-on-adversarial-autoencoder-handling-imbalance-for-learning Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank [Quick... Regarding this AAAI 2019 paper, this review summarizes an AAE-based data augmentation model for Learning to Rank, handling relevance and query imbalance. data augmentationadversarial autoencoderfor learningbasedhandling