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Intriguing properties of neural networks. arXiv:1312.6199. 2013."},{"key":"ref15","series-title":"Proceedings of the 1st Workshop on Privacy by Design in Distributed Systems","first-page":"1","article-title":"Protecting sensory data against sensitive inferences","author":"Malekzadeh","year":"2018 Apr 23\u201326"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1007\/978-3-319-13105-4_14","author":"Banos","year":"2014","journal-title":"Ambient assisted living and daily activities"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.3390\/app7101101","article-title":"UniMiB SHAR: a dataset for human activity recognition using acceleration data from smartphones","volume":"7","author":"Micucci","year":"2017","journal-title":"Appl Sci"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.comcom.2020.06.004","article-title":"Industrial Internet of Things for smart manufacturing applications using hierarchical trustful resource assignment","volume":"160","author":"Xu","year":"2020","journal-title":"Comput Commun"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"55465","DOI":"10.1109\/ACCESS.2021.3070905","article-title":"IoT and big data applications in smart cities: recent advances, challenges, and critical issues","volume":"9","author":"Talebkhah","year":"2021","journal-title":"IEEE Access"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1007\/s00779-011-0403-3","article-title":"A single tri-axial accelerometer-based real-time personal life log system capable of human activity recognition and exercise information generation","volume":"15","author":"Lee","year":"2011","journal-title":"Personal Ubiquitous Comput"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"16217","DOI":"10.1109\/ACCESS.2019.2894184","article-title":"Activity recognition method for home-based elderly care service based on random forest and activity 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sensors","volume":"19","author":"Voicu","year":"2019","journal-title":"Sensors"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"5571","DOI":"10.1109\/TMC.2023.3314837","volume":"23","author":"Han","year":"2024","journal-title":"IEEE Trans Mob Comput"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"679","DOI":"10.3390\/s18020679","article-title":"Comparison of feature learning methods for human activity recognition using wearable sensors","volume":"18","author":"Li","year":"2018","journal-title":"Sensors"},{"key":"ref28","series-title":"2020 IEEE 23rd International Multitopic Conference (INMIC)","first-page":"1","article-title":"HARDenseNet: A 1D densenet inspired convolutional neural network for human activity recognition with inertial sensors","author":"Mehmood","year":"2020 Nov 5\u20137"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"68985","DOI":"10.1109\/ACCESS.2021.3078184","article-title":"iSPLInception: an inception-resnet deep learning 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Netw"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1109\/TKDE.2006.14","article-title":"Random projection-based multiplicative data perturbation for privacy preserving distributed data mining","volume":"18","author":"Liu","year":"2006","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref41","volume":"27","author":"Goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref42","first-page":"17","author":"Hallyburton","year":"2025","journal-title":"Pattern recognition"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"2117","DOI":"10.1007\/s10586-023-04063-1","article-title":"A privacy-enhanced human activity recognition using GAN & entropy ranking of microaggregated data","volume":"27","author":"Aleroud","year":"2024","journal-title":"Cluster Comput"},{"key":"ref44","series-title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","article-title":"Privacy issues regarding the application of DNNs to activity-recognition using wearables and its countermeasures by use of adversarial training","author":"Iwasawa","year":"2017 Aug 19\u201325"},{"key":"ref45","series-title":"Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security. 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Explaining and harnessing adversarial examples. arXiv:1412.6572. 2015."},{"key":"ref53","unstructured":"Chung MK. Gaussian kernel smoothing. arXiv:2007.09539. 2021."},{"key":"ref54","series-title":"Proceedings of the 3rd International Conference on Learning Representations (ICLR 2015)","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015 May 7\u20139"},{"key":"ref55","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"ref56","series-title":"Springer","first-page":"325","author":"Zheng","year":"2012","journal-title":"Launching the new profile on facebook: understanding the triggers and outcomes of users\u2019 privacy concerns"},{"key":"ref57","series-title":"2016 IEEE Symposium on Security and Privacy (SP)","first-page":"397","article-title":"Inferring user routes and locations using zero-permission mobile sensors","author":"Narain","year":"2016 May 22\u201326"}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-84-2\/TSP_CMC_66270\/TSP_CMC_66270.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:53:39Z","timestamp":1763344419000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v84n2\/62934"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":57,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.066270","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}