Vulnerability analysis of transformer-based optical character recognition to adversarial attacks
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We present a novel framework to assess the resilience of state-of-the-art transformer-based optical character recognition (TrOCR) models. In this way, we develop new untargeted and targeted attack algorithms. On a benchmark handwriting dataset, we show that ad... ...
