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Now, with the increasing user adoption of augmented, mixed, and virtual reality (AR\/MR\/VR; we collectively refer to as MR) technology on user mobile devices, spatial data has become more ubiquitous. However, this ubiquity also opens up a new threat vector for adversaries: aside from the traditional forms of mobile media such as images and video, spatial data poses additional and, potentially, latent risks to users of AR\/MR\/VR. Thus, in this work, we analyse MR spatial data using various spatial complexity metrics---including a cosine similarity-based, and a Euclidean distance-based metric---as heuristic or empirical measures that can signify the inference risk a captured space has. To demonstrate the risk, we utilise 3D shape recognition and classification algorithms for spatial inference attacks over various 3D spatial data captured using mobile MR platforms: i.e. Microsoft HoloLens, and Android with Google ARCore. Our experimental evaluation and investigation shows that the cosine similarity-based metric is a good spatial complexity measure of captured 3D spatial maps and can be utilised as an indicator of spatial inference risk.<\/jats:p>","DOI":"10.1145\/3448103","type":"journal-article","created":{"date-parts":[[2021,3,30]],"date-time":"2021-03-30T18:56:41Z","timestamp":1617130601000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Unravelling Spatial Privacy Risks of Mobile Mixed Reality Data"],"prefix":"10.1145","volume":"5","author":[{"given":"Jaybie Agullo de","family":"Guzman","sequence":"first","affiliation":[{"name":"University of the Philippines Diliman, Quezon City, Philippines"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aruna","family":"Seneviratne","sequence":"additional","affiliation":[{"name":"University of New South Wales, Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kanchana","family":"Thilakarathna","sequence":"additional","affiliation":[{"name":"University of Sydney, Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,3,30]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"e_1_2_2_2_1","unstructured":"Alessandro Acquisti. 2011. Privacy in the age of augmented reality. (2011).  Alessandro Acquisti. 2011. Privacy in the age of augmented reality. (2011)."},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2906388.2906412"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2002.1022244"},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48482-5_14"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.572"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCT.2010.5640424"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIINFS.2010.5578714"},{"key":"e_1_2_2_9_1","volume-title":"Computer Security, and Neuroscience-Part 1: Risks to Sensation and Perception. arXiv preprint arXiv:1806.10557","author":"Baldassi Stefano","year":"2018","unstructured":"Stefano Baldassi , Tadayoshi Kohno , Franziska Roesner , and Moqian Tian . 2018. 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