most citedProtecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CR2021★ 2 cited

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack

Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng +2

Ever since Machine Learning as a Service (MLaaS) emerges as a viable business that utilizes deep learning models to generate lucrative revenue, Intellectual Property Right (IPR) ha…