Adaptive Adversarial Attack on Scene Text Recognition

no code implementations • 9 Jul 2018 • Xiaoyong Yuan, Pan He, Xiaolin Andy Li, Dapeng Oliver Wu

We observe two critical obstacles in adversarial examples: (i) Strong adversarial attacks (e. g., C&W attack) require manually tuning hyper-parameters and take a long time to construct an adversarial example, making it impractical to attack real-time systems; (ii) Most of the studies focus on non-sequential tasks, such as image classification, yet only a few consider sequential tasks.

Adversarial Attack Image Classification +3