Quantum Computing and Generative Adversarial Networks (GANs): Ethics, Privacy, and Security

Advancement in technology has demonstrated a shift in application, interpretability, and technological acceptance. Quantum Computing and Generative Adversarial Networks (GANs) represent two transformative domains with immense potential for innovation and disruption. This study examines the rise of ethical, privacy, and security considerations accompanying these technologies, highlighting their importance and defining the core emphasis on overlapping ethical, data privacy, and security problems and their mitigation. Starting with an overview of quantum computing and GANs, the study outlines their principles and practical applications, elucidating quantum algorithms’ revolutionary power and unique challenges. It explores how generative models reshape industries while examining ethical dilemmas introduced by synthetic content generation. Privacy concerns are evaluated, focusing on privacy-enhancing technologies. Security challenges are scrutinized, proposing strategies to fortify these technologies against adversarial threats.

https://www.igi-global.com/chapter/quantum-computing-and-generative-adversarial-networks-gans/367342

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