Evasion attacks against watermarking techniques found in MLaaS systems
Deep neural networks have had enormous impact on various domains of computer science applications, considerably outperforming previous state-of-the-art machine learning techniques. To achieve this performance, neural networks need large quantities of data and huge computational resources, which heavily increase their costs. The increased cost of building a good deep neural network model gives rise to a need for protecting this investment from potential copyright infringements.