Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints

13 Feb 2018 Di Tang XiaoFeng Wang Kehuan Zhang

To launch black-box attacks against a Deep Neural Network (DNN) based Face Recognition (FR) system, one needs to build \textit{substitute} models to simulate the target model, so the adversarial examples discovered from substitute models could also mislead the target model. Such \textit{transferability} is achieved in recent studies through querying the target model to obtain data for training the substitute models... (read more)

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