{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:14:12Z","timestamp":1778602452305,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":58,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T00:00:00Z","timestamp":1539561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100011002","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702035"],"award-info":[{"award-number":["61702035"]}],"id":[{"id":"10.13039\/501100011002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1730291"],"award-info":[{"award-number":["1730291"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,15]]},"DOI":"10.1145\/3241539.3241575","type":"proceedings-article","created":{"date-parts":[[2018,10,16]],"date-time":"2018-10-16T13:04:36Z","timestamp":1539695076000},"page":"321-336","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":108,"title":["EchoPrint"],"prefix":"10.1145","author":[{"given":"Bing","family":"Zhou","sequence":"first","affiliation":[{"name":"Stony Brook University, Stony Brook, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jay","family":"Lohokare","sequence":"additional","affiliation":[{"name":"Stony Brook University, Stony Brook, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruipeng","family":"Gao","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Ye","sequence":"additional","affiliation":[{"name":"Stony Brook University, Stony Brook, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,10,15]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"10\/31\/2017. Does Apple iPhone X Face ID Have a Sunlight Problem? http:\/\/fortune.com\/2017\/10\/31\/apple-iphone-x-face-idsunlight\/.  10\/31\/2017. Does Apple iPhone X Face ID Have a Sunlight Problem? http:\/\/fortune.com\/2017\/10\/31\/apple-iphone-x-face-idsunlight\/."},{"key":"e_1_3_2_1_2_1","unstructured":"11\/9\/2017. iPhone X: This is how much it costs to make one in components . http:\/\/www.zdnet.com\/article\/ iphone-x-this-is-how-much-it-costs-to-make-in-components\/.  11\/9\/2017. iPhone X: This is how much it costs to make one in components . http:\/\/www.zdnet.com\/article\/ iphone-x-this-is-how-much-it-costs-to-make-in-components\/."},{"key":"e_1_3_2_1_3_1","unstructured":"12\/3\/2007. How to fool a fingerprint security system as easy as ABC. http:\/\/www.instructables.com\/id\/ How-To-Fool-a-Fingerprint-Security-System-As-Easy-\/.  12\/3\/2007. How to fool a fingerprint security system as easy as ABC. http:\/\/www.instructables.com\/id\/ How-To-Fool-a-Fingerprint-Security-System-As-Easy-\/."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2011.08.055"},{"key":"e_1_3_2_1_5_1","unstructured":"2018. Qualcomm Trepn power profiler. https:\/\/developer.qualcomm. com\/software\/trepn-power-profiler.  2018. Qualcomm Trepn power profiler. https:\/\/developer.qualcomm. com\/software\/trepn-power-profiler."},{"key":"e_1_3_2_1_6_1","unstructured":"3\/31\/2017. Galaxy S8 face recognition already defeated with a simple picture. https:\/\/arstechnica.com\/gadgets\/2017\/03\/ video-shows-galaxy-s8-face-recognition-can-be-defeated-with-a-picture\/.  3\/31\/2017. Galaxy S8 face recognition already defeated with a simple picture. https:\/\/arstechnica.com\/gadgets\/2017\/03\/ video-shows-galaxy-s8-face-recognition-can-be-defeated-with-a-picture\/."},{"key":"e_1_3_2_1_7_1","unstructured":"6\/8\/2018. About Face ID advanced technology. https:\/\/support.apple. com\/en-us\/HT208108.  6\/8\/2018. About Face ID advanced technology. https:\/\/support.apple. com\/en-us\/HT208108."},{"key":"e_1_3_2_1_8_1","first-page":"265","article-title":"TensorFlow: A System for Large-Scale Machine Learning","volume":"16","author":"Abadi Mart\u00edn","year":"2016","journal-title":"OSDI"},{"key":"e_1_3_2_1_9_1","first-page":"1","article-title":"Ultrasonic echoes from complex surfaces: an application to object recognition","volume":"31","author":"Mart\u00edn Abreu JM","year":"1992","journal-title":"Sensors and Actuators A: Physical"},{"key":"e_1_3_2_1_10_1","volume-title":"Openface: A general-purpose face recognition library with mobile applications","author":"Amos Brandon","year":"2016"},{"key":"e_1_3_2_1_11_1","unstructured":"Apple. 2018. Apple pay. https:\/\/www.apple.com\/apple-pay\/.  Apple. 2018. Apple pay. https:\/\/www.apple.com\/apple-pay\/."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477553"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2006.01.013"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3081333.3081355"},{"key":"e_1_3_2_1_16_1","unstructured":"Fran\u00e7ois Chollet et al. 2015. Keras. urlhttps:\/\/github.com\/kerasteam\/ keras.  Fran\u00e7ois Chollet et al. 2015. Keras. urlhttps:\/\/github.com\/kerasteam\/ keras."},{"key":"e_1_3_2_1_17_1","first-page":"291","article-title":"Biometric personal identification system based on iris analysis","volume":"5","author":"Daugman John G","year":"1994","journal-title":"US Patent"},{"key":"e_1_3_2_1_18_1","first-page":"2","article-title":"Overview of the RANSAC Algorithm","volume":"4","author":"Derpanis Konstantinos G","year":"2010","journal-title":"Image Rochester NY"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00194925"},{"key":"e_1_3_2_1_20_1","first-page":"158","article-title":"Your face is not your password face authentication bypassing lenovo--asus--toshiba","volume":"4","author":"Duc Nguyen Minh","year":"2009","journal-title":"Black Hat Briefings"},{"key":"e_1_3_2_1_21_1","unstructured":"Google. 2014. Android pay. https:\/\/www.android.com\/pay\/.  Google. 2014. Android pay. https:\/\/www.android.com\/pay\/."},{"key":"e_1_3_2_1_22_1","unstructured":"Google. 2017. Introduction to Mobile Vision. https:\/\/developers.google. com\/vision\/introduction.  Google. 2017. Introduction to Mobile Vision. https:\/\/developers.google. com\/vision\/introduction."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_24_1","unstructured":"Emmanuel C Ifeachor and BarrieWJervis. 2002. Digital signal processing: a practical approach. Pearson Education.   Emmanuel C Ifeachor and BarrieWJervis. 2002. Digital signal processing: a practical approach. Pearson Education."},{"key":"e_1_3_2_1_25_1","volume-title":"Multimedia and Expo, 2002. ICME'02. Proceedings. 2002 IEEE International Conference on","volume":"1","author":"Jiang Dan-Ning","year":"2002"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2008.4813470"},{"key":"e_1_3_2_1_27_1","volume-title":"Anders Grunnet-Jepsen, and Achintya Bhowmik.","author":"Keselman Leonid","year":"2017"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/1771592.1771602"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2348543.2348581"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790122"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2462456.2464450"},{"key":"e_1_3_2_1_32_1","first-page":"1","article-title":"Mel Frequency Cepstral Coefficients for Music Modeling","volume":"270","author":"Beth Logan","year":"2000","journal-title":"ISMIR"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370270"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2973750.2973755"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2007.05.006"},{"key":"e_1_3_2_1_36_1","unstructured":"Phillip J McKerrow and Kok Kai Yoong. 2006. Face classification with ultrasonic sensing. (2006).  Phillip J McKerrow and Kok Kai Yoong. 2006. Face classification with ultrasonic sensing. (2006)."},{"key":"e_1_3_2_1_37_1","volume-title":"ISMIR","volume":"2005","author":"M\u00fcller Meinard","year":"2005"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2742647.2742674"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858580"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1322263.1322265"},{"key":"e_1_3_2_1_41_1","volume-title":"Proceedings of the Sixth International Conference on Learning Representations (ICLR).","author":"Ping Wei","year":"2018"},{"key":"e_1_3_2_1_42_1","unstructured":"Qualcomm. 2018. Fingerprint Sensors. https:\/\/www.qualcomm.com\/ solutions\/mobile-computing\/features\/security\/fingerprint-sensors.  Qualcomm. 2018. Fingerprint Sensors. https:\/\/www.qualcomm.com\/ solutions\/mobile-computing\/features\/security\/fingerprint-sensors."},{"key":"e_1_3_2_1_43_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014"},{"key":"e_1_3_2_1_44_1","volume-title":"2012 BIOSIG - Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG). 1--12","author":"Stein C."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1049\/ip-f-2.1992.0048"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143120.1143128"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/2594368.2594384"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/2973750.2973764"},{"key":"e_1_3_2_1_49_1","volume-title":"Computer Communication and Networks (ICCCN), 2017 26th International Conference on. IEEE, 1--8.","author":"Wang Xuyu","year":"2017"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1080\/00029890.1952.11988094"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/2030613.2030625"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790102"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/2742647.2742662"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/2973750.2973775"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2307636.2307638"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3081333.3081363"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3131672.3131689"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/3117811.3119864"}],"event":{"name":"MobiCom '18: The 24th Annual International Conference on Mobile Computing and Networking","location":"New Delhi India","acronym":"MobiCom '18","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 24th Annual International Conference on Mobile Computing and Networking"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3241539.3241575","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3241539.3241575","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3241539.3241575","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:57:37Z","timestamp":1750208257000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3241539.3241575"}},"subtitle":["Two-factor Authentication using Acoustics and Vision on Smartphones"],"short-title":[],"issued":{"date-parts":[[2018,10,15]]},"references-count":58,"alternative-id":["10.1145\/3241539.3241575","10.1145\/3241539"],"URL":"https:\/\/doi.org\/10.1145\/3241539.3241575","relation":{},"subject":[],"published":{"date-parts":[[2018,10,15]]},"assertion":[{"value":"2018-10-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}