https://hackerpaper.kaipfister.de/p/1502.03182/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=9094806urn:hackerpapers:mention:1502.03182:9094806Mon, 23 Feb 2015 15:35:03 GMT<p>&gt; For instance, wouldn&#x27;t you need to know details of how different buildings are constructed? They learned the typical profiles of power use for different journeys and then tried to distinguish between them (at least in one experiment). http://arxiv.org/pdf/1502.03182v1.pdf</p><p><a href="https://hackerpaper.kaipfister.de/p/1502.03182/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CRhttps://news.ycombinator.com/item?id=9094223urn:hackerpapers:mention:1502.03182:9094223Mon, 23 Feb 2015 13:48:47 GMT<p>Original research paper: http://arxiv.org/abs/1502.03182 PDF link: http://arxiv.org/pdf/1502.03182v1.pdf</p><p><a href="https://hackerpaper.kaipfister.de/p/1502.03182/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CRhttps://news.ycombinator.com/item?id=9079076urn:hackerpapers:submission:1502.03182:9079076Fri, 20 Feb 2015 05:23:33 GMT<p>PowerSpy: Location Tracking Using Mobile Device Power Analysis [pdf]</p><p></p><p>2 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/1502.03182/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CRhttps://news.ycombinator.com/item?id=9061597urn:hackerpapers:submission:1502.03182:9061597Tue, 17 Feb 2015 11:06:06 GMT<p>PowerSpy: Location Tracking Using Mobile Device Power Analysis</p><p></p><p>27 points; 6 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/1502.03182/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CR