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An image is worth a thousand toxic words: A metamorphic testing framework for content moderation software
The exponential growth of social media platforms has brought about a revolution in
communication and content dissemination in human society. Nevertheless, these platforms …
communication and content dissemination in human society. Nevertheless, these platforms …
GReAT: A graph regularized adversarial training method
This paper presents GReAT (Graph Regularized Adversarial Training), a novel
regularization method designed to enhance the robust classification performance of deep …
regularization method designed to enhance the robust classification performance of deep …
Test Time Augmentation as a Defense Against Adversarial Attacks on Online Handwriting
Y Yamashita, BK Iwana - International Conference on Document Analysis …, 2024 - Springer
Neural networks have been shown to be weak against adversarial attacks. This study
examines the effects of adversarial attacks on online handwritten characters and proposes a …
examines the effects of adversarial attacks on online handwritten characters and proposes a …
From Characters to Chaos: On the Feasibility of Attacking Thai OCR with Adversarial Examples
C Jiamsuchon, J Suaboot… - 2023 20th International …, 2023 - ieeexplore.ieee.org
Recent advances in deep neural networks (DNNs) have significantly enhanced the
capabilities of optical character recognition (OCR) technology, enabling its adoption to a …
capabilities of optical character recognition (OCR) technology, enabling its adoption to a …
On the feasibility of attacking Thai LPR systems with adversarial examples
C Jiamsuchon, J Suaboot… - arxiv preprint arxiv …, 2023 - arxiv.org
Recent advances in deep neural networks (DNNs) have significantly enhanced the
capabilities of optical character recognition (OCR) technology, enabling its adoption to a …
capabilities of optical character recognition (OCR) technology, enabling its adoption to a …