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Generative Adversarial Nets

GAN Research Article

Authors: Author Clustor

This paper introduces Generative Adversarial Networks (GANs), where two neural networks compete: a generator creates synthetic data while a discriminator evaluates it. The framework enables realistic data generation including images and videos.

bookInternational Research Journal
calendar_todayApril 2026
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GAN Deep Learning Generative Models Neural Networks

DOI: 10.1234/vaibhavlaxmi.QCJL85

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Hacking Smart Machines with Smarter Ones

Machine Learning Security Research Article

Authors: Author Clustor

This paper explores how attackers can infer sensitive information from trained machine learning classifiers. By building a meta-classifier, researchers demonstrate how models may leak hidden details about training data and system design.

bookInternational Research Journal
calendar_todayMarch 2026
download0 downloads
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Machine Learning Security Privacy Leakage Meta-Classifier

DOI: 10.1234/journal.2026.14

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