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Deep Auto-Encoder Based on Supervised Learning for Damaged Face Reconstruction., , , , and . ICIMCS, volume 819 of Communications in Computer and Information Science, page 290-299. Springer, (2017)Adversarial attack via dual-stage network erosion., , , , , , , and . Comput. Secur., (2022)Development of a Moodle course for schoolchildren's table tennis learning based on Competence Motivation Theory: Its effectiveness in comparison to traditional training method., , and . Comput. Educ., 59 (2): 294-303 (2012)Learning Indistinguishable and Transferable Adversarial Examples., , , , and . PRCV (4), volume 13022 of Lecture Notes in Computer Science, page 152-164. Springer, (2021)Learning Coated Adversarial Camouflages for Object Detectors., , , , , , , and . IJCAI, page 891-897. ijcai.org, (2022)基于监督学习深度自编码器的图像重构 (Image Reconstruction Based on Supervised Learning Deep Auto-encoder)., , , , and . 计算机科学, 45 (11): 267-271 (2018)Convolutional neural network feature maps selection based on LDA., , , , and . Multimedia Tools Appl., 77 (9): 10635-10649 (2018)Mask-guided noise restriction adversarial attacks for image classification., , , , , and . Comput. Secur., (2021)Adversarial Attack via Dual-Stage Network Erosion., , , , , and . CoRR, (2022)Making Adversarial Examples More Transferable and Indistinguishable., , , , , and . CoRR, (2020)