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A Survey of Neural Network Robustness Assessment in Image Recognition
April 15, 2024, 4:44 a.m. | Jie Wang, Jun Ai, Minyan Lu, Haoran Su, Dan Yu, Yutao Zhang, Junda Zhu, Jingyu Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: In recent years, there has been significant attention given to the robustness assessment of neural networks. Robustness plays a critical role in ensuring reliable operation of artificial intelligence (AI) systems in complex and uncertain environments. Deep learning's robustness problem is particularly significant, highlighted by the discovery of adversarial attacks on image classification models. Researchers have dedicated efforts to evaluate robustness in diverse perturbation conditions for image recognition tasks. Robustness assessment encompasses two main techniques: robustness …
abstract artificial artificial intelligence arxiv assessment attention cs.ai cs.cv cs.sy deep learning eess.sy environments image image recognition intelligence network networks neural network neural networks recognition robustness role survey systems type uncertain
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