Enhancing the Sustainability of Deep-Learning-Based Network Intrusion Detection Classifiers against Adversarial Attacks

Afnan Alotaibi / Murad A. Rassam | DOAJ | 2023

Crack Detection Based on Generative Adversarial Networks and Deep Learning

Chen, Gongfa / Teng, Shuai / Lin, Mansheng et al. | Springer Verlag | 2022

Exploiting device-level non-idealities for adversarial attacks on ReRAM-based neural networks

Tyler McLemore / Robert Sunbury / Seth Brodzik et al. | DOAJ | 2023

floodGAN: Using Deep Adversarial Learning to Predict Pluvial Flooding in Real Time

Julian Hofmann / Holger Schüttrumpf | DOAJ | 2021

Loss-Driven Adversarial Ensemble Deep Learning for On-Line Time Series Analysis

Hyungjin Ko / Jaewook Lee / Junyoung Byun et al. | DOAJ | 2019