Deep neural networks (DNNs) have been demonstrated to be vulnerable to meticulously crafted adversarial examples. Transfer-based attacks do not require access to the target model’s information, have ...

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To this end, we propose an adaptive meta-gradient adversarial attack (AMGA) method for visual tracking. This method integrates multimodel ensemble and meta-learning strategies, combining momentum ...