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    Dissertation/ Thesis

    المؤلفون: 于振升, Yu, Zhen-Sheng

    المساهمون: 廖文宏, Liao, Wen-Hung

    وصف الملف: 2874069 bytes; application/pdf

    Relation: [1] 維基百科:深度學習架構: https://zh.wikipedia.org/zh-tw/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0 [2] Y. LeCun; B. Boser; J. S. Denker; D. Henderson; R. E. Howard. (1989). Backpropagation Applied to Handwritten Zip Code on IEEE Intelligent Systems, 541-555. [3] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun Microsoft Research。Identity Mappings in Deep Residual Networks arXiv:1603.05027v3 [cs.CV] 25 Jul 2016 [4] AlexeyDosovitskiy, Lucas,Beyer, AlexanderKolesnikov, DirkWeissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby (2020). An Image is Worth 16x16Words:TransformersforImageRecognitionat Scale. arXiv:2010.11929 [cs.CV] [5] Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang (2021). CvT: Introducing Convolutions to Vision Transformers, arXiv:2103.15808 [6] Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy. (2014). Explaining and Harnessing Adversarial Examples. arXiv:1412.6572 [stat.ML] [7] Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy. (2014). Explaining and Harnessing Adversarial Examples. (pp.3 -5). [8] Ian J. Goodfellow, Jonathon Shlens, Christian Szegedy. (2014). Explaining and Harnessing Adversarial Examples. (pp.5 -7) [9] Papernot, Nicolas, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, and Ananthram Swami. "The limitations of deep learning in adversarial settings." In Security and Privacy (EuroS&P), 2016 IEEE European Symposium on, pp. 372-387. IEEE, 2016 [10] Nicholas Carlini,David Wagner Towards Evaluating the Robustness of Neural Networks [D] 10.1109/SP(2017) [11] Naveed Akhtar, Ajmal Mian.(2018) Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey. arXiv:1801.00553 [cs.CV] [12] Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z. Berkay Celik, Ananthram SwamiPractical Black-Box Attacks against Machine Learning(pp.4 -7) [13] 對抗防禦之對抗樣本檢測:Feature Squeezing https://www.cnblogs.com/hickey2048/p/15136348.html [14] Joachim Folz , Sebastian Palacio , Joern Hees, Damian Borth, and Andreas Dengel.(2020)Adversarial Defense based on Structure-to-Signal Autoencoders .2020 IEEE Winter Conference on Applications of Computer Vision (WACV) [15] 維基百科:半色調 https://zh.wikipedia.org/zh-tw/%E5%8D%8A%E8%89%B2%E8%AA%BF [16] 印刷第四課:印前基礎-網點 https://jeseinfini.com/2016/02/21/%E5%8D%B0%E5%88%B7%E7%AC%AC%E5%9B%9B%E8%AA%B2%EF%BC%9A%E5%8D%B0%E5%89%8D%E5%9F%BA%E7%A4%8E-%E7%B6%B2%E9%BB%9E/ [17] Huang, Chen-Wei, Liao, Wen-Hung. (2021). Defense Mechanism Against Adversarial Attacks Using Density-based Representation of Images, 5-8. [18] 維基百科: Floyd–Steinberg dithering https://en.wikipedia.org/wiki/Floyd%E2%80%93Steinberg_dithering/ [19] Menghan Xia, Wenbo Hu, Xueting Liu, Tien-Tsin Wong(2021) Deep Halftoning With Reversible Binary Pattern. IEEE/CVF International Conference on Computer Vision (ICCV), 2021 (pp. 14000-14009). [20] ImageNet 資料集 https://www.image-net.org/. [21] Tiny-ImageNet 資料集 https://www.kaggle.com/c/tiny-imagenet/overview [22] ImageNet-100 資料集 ehttps://www.kaggle.com/datasets/ambityga/imagenet100. [23] 維基百科:均方誤差 https://zh.wikipedia.org/zh-tw/%E5%9D%87%E6%96%B9%E8%AF%AF%E5%B7%AE [24] 維基百科: 峰值訊噪比. https://zh.wikipedia.org/zh-tw/%E5%B3%B0%E5%80%BC%E4%BF%A1%E5%99%AA%E6%AF%94 [25] 維基百科: 結構相似性 https://zh.wikipedia.org/zh-tw/%E7%B5%90%E6%A7%8B%E7%9B%B8%E4%BC%BC%E6%80%A7; G0108971016; https://nccur.lib.nccu.edu.tw//handle/140.119/151503; https://nccur.lib.nccu.edu.tw/bitstream/140.119/151503/1/101601.pdf

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    وصف الملف: application/pdf

    Relation: Скворчевський О. Є. Багатофупкціональний пропорційний перетворювач для електрогідравлічних приводів колісних та гусеничних машин / О. Є. Скворчевський // Механіка та машинобудування. – 2006. – № 1. – С. 189-195.; http://repository.kpi.kharkov.ua/handle/KhPI-Press/30272; orcid.org/0000-0002-4572-7305

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