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FusionGAN: A generative adversarial network for infrared and visible image fusion
Information Fusion, 2019Jiayi, Pengwei Liang, Chang Li
exaly
Infrared and visible image fusion via detail preserving adversarial learning
Information Fusion, 2020Jiayi, Pengwei Liang, Chen Chen
exaly
Adversarial Machine Learning in Image Classification: A Survey Toward the Defender’s Perspective
ACM Computing Surveys, 2023exaly
Adversarial examples in machine learning
Diese Arbeit untersucht die mathematischen Grundlagen zur Generierung sogenannter Adversarial Examples und entwickelt Methoden zum Schutz von Modellen des maschinellen Lernens gegen solche gezielten Störungen. Das Konzept, bekannt als Adversarial Risk, beschreibt die Robustheit eines Modells als Min-Max-Optimierungsproblem.openaire +1 more source
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Medical Image Analysis, 2019Thomas Schlegl +2 more
exaly
Session details: Adversarial Machine Learning
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security - AISec'19, 2019openaire +2 more sources