{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T14:40:03Z","timestamp":1755873603426,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,20]]},"DOI":"10.1145\/3644116.3644196","type":"proceedings-article","created":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T18:38:22Z","timestamp":1712342302000},"page":"488-495","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Combining ResNet and RBF Networks to Enhance the Robustness of Diabetic Retinopathy Detection Against FGSM Attacks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0656-3123","authenticated-orcid":false,"given":"Jianyun","family":"Gao","sequence":"first","affiliation":[{"name":"Shenyang Pharmaceutical University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0902-9072","authenticated-orcid":false,"given":"Rongwu","family":"Xiang","sequence":"additional","affiliation":[{"name":"Shenyang Pharmaceutical University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0760-9739","authenticated-orcid":false,"given":"Zongbo","family":"Jiang","sequence":"additional","affiliation":[{"name":"Chongqing University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9765-2373","authenticated-orcid":false,"given":"Lin","family":"Ran","sequence":"additional","affiliation":[{"name":"Chongqing University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1352-2572","authenticated-orcid":false,"given":"Shu","family":"Li","sequence":"additional","affiliation":[{"name":"China National Institutes for Food and Drug Control, China"}]}],"member":"320","published-online":{"date-parts":[[2024,4,5]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/SPIN.2017.8050011"},{"key":"e_1_3_2_1_2_1","volume-title":"IEEE","author":"Khan Sharzil Haris","year":"2019","unstructured":"Khan, Sharzil Haris, Zeeshan Abbas, and SM Danish Rizvi. Classification of diabetic retinopathy images based on customised CNN architecture.\"2019 Amity international conference on artificial intelligence (AICAI). IEEE, 2019."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Zhang Debiao Wei Bu and Xiangqian Wu. Diabetic retinopathy classification using deeply supervised ResNet. 2017 IEEE SmartWorld Ubiquitous Intelligence & Computing Advanced & Trusted Computed Scalable Computing & Communications Cloud & Big Data Computing Internet of People and Smart City Innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI). IEEE 2017.","DOI":"10.1109\/UIC-ATC.2017.8397469"},{"key":"e_1_3_2_1_4_1","volume-title":"Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199","author":"Szegedy Christian","year":"2013","unstructured":"Szegedy, Christian, Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199. 2013."},{"key":"e_1_3_2_1_5_1","volume-title":"Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572","author":"Ian Goodfellow Ian J","year":"2014","unstructured":"Ian Goodfellow, Ian J., Jonathon Shlens, and Christian Szegedy. Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572. 2014."},{"key":"e_1_3_2_1_6_1","volume-title":"On the (statistical) detection of adversarial examples. arXiv preprint arXiv:1702.06280","author":"Grosse Kathrin","year":"2017","unstructured":"Grosse, Kathrin, On the (statistical) detection of adversarial examples. arXiv preprint arXiv:1702.06280. 2017."},{"key":"e_1_3_2_1_7_1","volume-title":"Adversarial examples, uncertainty, and transfer testing robustness in Gaussian process hybrid deep networks. arXiv preprint arXiv:1707.02476","author":"Bradshaw John","year":"2017","unstructured":"Bradshaw, John, Alexander G. de G. Matthews, and Zoubin Ghahramani. Adversarial examples, uncertainty, and transfer testing robustness in Gaussian process hybrid deep networks. arXiv preprint arXiv:1707.02476. 2017."},{"key":"e_1_3_2_1_8_1","volume-title":"Yang","author":"Song","year":"2017","unstructured":"Song, Yang, Pixeldefend: Leveraging generative models to understand and defend against adversarial examples. arXiv preprint arXiv:1710.10766. 2017."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_10_1","volume-title":"On the variance of the adaptive learning rate and beyond. arXiv","author":"Liu Liyuan","year":"2019","unstructured":"Liu, Liyuan, On the variance of the adaptive learning rate and beyond. arXiv 2019. arXiv preprint arXiv:1908.03265 (2019)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Lee Chien-Cheng \"Robust radial basis function neural networks.\" IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 29.6. 1999: 674-685.","DOI":"10.1109\/3477.809023"},{"key":"e_1_3_2_1_12_1","volume-title":"Comprehensive Study on the Robustness of 18 Deep Image Classification Models. Proceedings of the European conference on computer vision (ECCV).","author":"Su Dong","year":"2018","unstructured":"Su, Dong, Is Robustness the Cost of Accuracy?\u2013A Comprehensive Study on the Robustness of 18 Deep Image Classification Models. Proceedings of the European conference on computer vision (ECCV). 2018."},{"key":"e_1_3_2_1_13_1","volume-title":"Learning from imbalanced data","author":"He Haibo","year":"2009","unstructured":"He, Haibo, and Edwardo A. Garcia. Learning from imbalanced data. IEEE Transactions on knowledge and data engineering 21.9. 2009: 1263-1284."},{"key":"e_1_3_2_1_14_1","volume-title":"How to train your vit? data, augmentation, and regularization in vision transformers. arXiv preprint arXiv:2106.10270","author":"Steiner Andreas","year":"2021","unstructured":"Steiner, Andreas, How to train your vit? data, augmentation, and regularization in vision transformers. arXiv preprint arXiv:2106.10270. 2021."},{"key":"e_1_3_2_1_15_1","volume-title":"Adversarial examples: Attacks and defenses for deep learning","author":"Yuan Xiaoyong","year":"2019","unstructured":"Yuan, Xiaoyong, Adversarial examples: Attacks and defenses for deep learning. IEEE transactions on Neural Networksand learning systems 30.9. 2019: 2805-2824."},{"key":"e_1_3_2_1_16_1","first-page":"13073","volume":"3","author":"Dapello Joel","unstructured":"Dapello, Joel, Simulating a primary visual cortex at the front of cnns improves robustness to image perturbations. Advances in Neural Information Processing Systems 33. 2020: 13073-13087.","journal-title":"Neural Information Processing Systems"}],"event":{"name":"ISAIMS 2023: 2023 4th International Symposium on Artificial Intelligence for Medicine Science","acronym":"ISAIMS 2023","location":"Chengdu China"},"container-title":["Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3644116.3644196","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3644116.3644196","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T14:11:03Z","timestamp":1755871863000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3644116.3644196"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,20]]},"references-count":16,"alternative-id":["10.1145\/3644116.3644196","10.1145\/3644116"],"URL":"https:\/\/doi.org\/10.1145\/3644116.3644196","relation":{},"subject":[],"published":{"date-parts":[[2023,10,20]]},"assertion":[{"value":"2024-04-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}