{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T17:30:37Z","timestamp":1783791037065,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":80,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:00:00Z","timestamp":1605484800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Science Foundation","award":["ECCS-2028872, CNS-1718375"],"award-info":[{"award-number":["ECCS-2028872, CNS-1718375"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,11,16]]},"DOI":"10.1145\/3384419.3430779","type":"proceedings-article","created":{"date-parts":[[2020,11,25]],"date-time":"2020-11-25T02:08:48Z","timestamp":1606270128000},"page":"312-325","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":79,"title":["VocalPrint"],"prefix":"10.1145","author":[{"given":"Huining","family":"Li","sequence":"first","affiliation":[{"name":"University at Buffalo and the State University of New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenhan","family":"Xu","sequence":"additional","affiliation":[{"name":"University at Buffalo and the State University of New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aditya Singh","family":"Rathore","sequence":"additional","affiliation":[{"name":"University at Buffalo and the State University of New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengxiong","family":"Li","sequence":"additional","affiliation":[{"name":"University at Buffalo and the State University of New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanbin","family":"Zhang","sequence":"additional","affiliation":[{"name":"University at Buffalo and the State University of New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Song","sequence":"additional","affiliation":[{"name":"San Diego State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Wang","sequence":"additional","affiliation":[{"name":"University of California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Su","sequence":"additional","affiliation":[{"name":"University at Buffalo and the State University of New York"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Lin","sequence":"additional","affiliation":[{"name":"Zhejiang University, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kui","family":"Ren","sequence":"additional","affiliation":[{"name":"Zhejiang University, Zhejiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenyao","family":"Xu","sequence":"additional","affiliation":[{"name":"University at Buffalo and the State University of New York"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,11,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702200"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MICC.2015.7725437"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9904-1967-11751-8"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196494.3196545"},{"key":"e_1_3_2_1_5_1","first-page":"851","article-title":"System and method for liveness authentication using an augmented challenge\/response scheme","volume":"6","author":"Bolle Rudolf Maarten","year":"2005","unstructured":"Rudolf Maarten Bolle , Jonathan Hudson Connell , and Nalini K Ratha . 2005 . System and method for liveness authentication using an augmented challenge\/response scheme . US Patent 6 , 851 ,051. Rudolf Maarten Bolle, Jonathan Hudson Connell, and Nalini K Ratha. 2005. System and method for liveness authentication using an augmented challenge\/response scheme. US Patent 6,851,051.","journal-title":"US Patent"},{"key":"e_1_3_2_1_6_1","volume-title":"The bosaris toolkit: Theory, algorithms and code for surviving the new dcf. arXiv preprint arXiv:1304.2865","author":"Br\u00fcmmer Niko","year":"2013","unstructured":"Niko Br\u00fcmmer and Edward De Villiers . 2013. The bosaris toolkit: Theory, algorithms and code for surviving the new dcf. arXiv preprint arXiv:1304.2865 ( 2013 ). Niko Br\u00fcmmer and Edward De Villiers. 2013. The bosaris toolkit: Theory, algorithms and code for surviving the new dcf. arXiv preprint arXiv:1304.2865 (2013)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0969-4765(18)30010-9"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.628714"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2005.06.003"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.133"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2015.2450294"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2812193"},{"key":"e_1_3_2_1_13_1","volume-title":"Support-vector networks. Machine learning 20, 3","author":"Cortes Corinna","year":"1995","unstructured":"Corinna Cortes and Vladimir Vapnik . 1995. Support-vector networks. Machine learning 20, 3 ( 1995 ), 273--297. Corinna Cortes and Vladimir Vapnik. 1995. Support-vector networks. Machine learning 20, 3 (1995), 273--297."},{"key":"e_1_3_2_1_14_1","volume-title":"Proceedings of the 6th Nordic Signal Processing Symposium, 2004. NORSIG 2004. Citeseer, 344--347","author":"Das Sharmistha","year":"2004","unstructured":"Sharmistha Das and John HL Hansen . 2004 . Detection of voice onset time (VOT) for unvoived stops (\/p\/,\/t\/,\/k\/) using the Teager energy operator (TEO) for automatic detection of accented English . In Proceedings of the 6th Nordic Signal Processing Symposium, 2004. NORSIG 2004. Citeseer, 344--347 . Sharmistha Das and John HL Hansen. 2004. Detection of voice onset time (VOT) for unvoived stops (\/p\/,\/t\/,\/k\/) using the Teager energy operator (TEO) for automatic detection of accented English. In Proceedings of the 6th Nordic Signal Processing Symposium, 2004. NORSIG 2004. Citeseer, 344--347."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.17485\/ijst\/2016\/v9i4\/83894"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICETET.2008.46"},{"key":"e_1_3_2_1_17_1","volume-title":"Acoustic theory of speech production: with calculations based on X-ray studies of Russian articulations. Number 2","author":"Fant Gunnar","unstructured":"Gunnar Fant . 1970. Acoustic theory of speech production: with calculations based on X-ray studies of Russian articulations. Number 2 . Walter de Gruyter . Gunnar Fant. 1970. Acoustic theory of speech production: with calculations based on X-ray studies of Russian articulations. Number 2. Walter de Gruyter."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3117811.3117823"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2011.2178427"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1090\/psapm\/040\/1059485"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2007.4412892"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1002\/sec.1499"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241548"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/2602339.2602347"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1137\/0108053"},{"key":"e_1_3_2_1_26_1","volume-title":"Voiceprint identification. Nature 196, 4861","author":"Kersta Lawrence George","year":"1962","unstructured":"Lawrence George Kersta . 1962. Voiceprint identification. Nature 196, 4861 ( 1962 ), 1253--1257. Lawrence George Kersta. 1962. Voiceprint identification. Nature 196, 4861 (1962), 1253--1257."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1121\/1.413374"},{"key":"e_1_3_2_1_28_1","series-title":"SIAM Journal on optimization 9, 1","volume-title":"Convergence properties of the Nelder-Mead simplex method in low dimensions","author":"Lagarias Jeffrey C","year":"1998","unstructured":"Jeffrey C Lagarias , James A Reeds , Margaret H Wright , and Paul E Wright . 1998. Convergence properties of the Nelder-Mead simplex method in low dimensions . SIAM Journal on optimization 9, 1 ( 1998 ), 112--147. Jeffrey C Lagarias, James A Reeds, Margaret H Wright, and Paul E Wright. 1998. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM Journal on optimization 9, 1 (1998), 112--147."},{"key":"e_1_3_2_1_29_1","volume-title":"Google Home now recognizes your individual voice. CNN Money","author":"Larson Selena","year":"2017","unstructured":"Selena Larson . 2017. Google Home now recognizes your individual voice. CNN Money , San Francisco , California 3 ( 2017 ). Selena Larson. 2017. Google Home now recognizes your individual voice. CNN Money, San Francisco, California 3 (2017)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2013.2256924"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ChiCC.2014.6895780"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2897824.2925953"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2010.2052968"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3117811.3117839"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3191751"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/MEMB.2002.1044188"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/348941.348995"},{"key":"e_1_3_2_1_38_1","unstructured":"Alvin F Martin and Mark A Przybocki. 2001. The NIST speaker recognition evaluations: 1996--2001. In 2001: A Speaker Odyssey-The Speaker Recognition Workshop.  Alvin F Martin and Mark A Przybocki. 2001. The NIST speaker recognition evaluations: 1996--2001. In 2001: A Speaker Odyssey-The Speaker Recognition Workshop."},{"key":"e_1_3_2_1_39_1","volume-title":"Sixth European Conference on Speech Communication and Technology.","author":"McLaughlin Jack","year":"1999","unstructured":"Jack McLaughlin , Douglas A Reynolds , and Terry Gleason . 1999 . A study of computation speed-ups of the GMM-UBM speaker recognition system . In Sixth European Conference on Speech Communication and Technology. Jack McLaughlin, Douglas A Reynolds, and Terry Gleason. 1999. A study of computation speed-ups of the GMM-UBM speaker recognition system. In Sixth European Conference on Speech Communication and Technology."},{"key":"e_1_3_2_1_40_1","volume-title":"Line spectral pairs. Signal processing 88, 3","author":"McLoughlin Ian Vince","year":"2008","unstructured":"Ian Vince McLoughlin . 2008. Line spectral pairs. Signal processing 88, 3 ( 2008 ), 448--467. Ian Vince McLoughlin. 2008. Line spectral pairs. Signal processing 88, 3 (2008), 448--467."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209582.3209591"},{"key":"e_1_3_2_1_42_1","volume-title":"Combining evidence from residual phase and MFCC features for speaker recognition","author":"Murtty K Sri Rama","year":"2005","unstructured":"K Sri Rama Murtty and Bayya Yegnanarayana . 2005. Combining evidence from residual phase and MFCC features for speaker recognition . IEEE signal processing letters 13, 1 ( 2005 ), 52--55. K Sri Rama Murtty and Bayya Yegnanarayana. 2005. Combining evidence from residual phase and MFCC features for speaker recognition. IEEE signal processing letters 13, 1 (2005), 52--55."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Seiichi Nakagawa Kouhei Asakawa and Longbiao Wang. 2007. Speaker recognition by combining MFCC and phase information. In Eighth annual conference of the international speech communication association.  Seiichi Nakagawa Kouhei Asakawa and Longbiao Wang. 2007. Speaker recognition by combining MFCC and phase information. In Eighth annual conference of the international speech communication association.","DOI":"10.21437\/Interspeech.2007-161"},{"key":"e_1_3_2_1_44_1","unstructured":"National Instruments [n.d.]. mmWave Transceiver System. http:\/\/www.ni.com\/sdr\/mmwave\/  National Instruments [n.d.]. mmWave Transceiver System. http:\/\/www.ni.com\/sdr\/mmwave\/"},{"key":"e_1_3_2_1_45_1","unstructured":"NXP [n.d.]. S32R27 Reference Design Kit for high-performance Automotive Radar. https:\/\/www.nxp.com\/products\/power-management\/system-basis-chips\/functional-safety-sbcs\/s32r27-reference-design-kit-for-high-performance-automotive-radar:RDK-S32R274  NXP [n.d.]. S32R27 Reference Design Kit for high-performance Automotive Radar. https:\/\/www.nxp.com\/products\/power-management\/system-basis-chips\/functional-safety-sbcs\/s32r27-reference-design-kit-for-high-performance-automotive-radar:RDK-S32R274"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2006.882869"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/SPCOM.2012.6289991"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1117\/12.830543"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/89.784109"},{"key":"e_1_3_2_1_50_1","volume-title":"IEEE 2011 workshop on automatic speech recognition and understanding. IEEE Signal Processing Society.","author":"Povey Daniel","year":"2011","unstructured":"Daniel Povey , Arnab Ghoshal , Gilles Boulianne , Lukas Burget , Ondrej Glembek , Nagendra Goel , Mirko Hannemann , Petr Motlicek , Yanmin Qian , Petr Schwarz , 2011 . The Kaldi speech recognition toolkit . In IEEE 2011 workshop on automatic speech recognition and understanding. IEEE Signal Processing Society. Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, et al. 2011. The Kaldi speech recognition toolkit. In IEEE 2011 workshop on automatic speech recognition and understanding. IEEE Signal Processing Society."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3274783.3274855"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273594"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/89.366548"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/89.365379"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2906388.2906415"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1185-y"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2381354"},{"key":"e_1_3_2_1_58_1","volume-title":"Defending Against Voice Spoofing: A Robust Software-based Liveness Detection System. In 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 28--36","author":"Shang Jiacheng","year":"2018","unstructured":"Jiacheng Shang , Si Chen , and Jie Wu . 2018 . Defending Against Voice Spoofing: A Robust Software-based Liveness Detection System. In 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 28--36 . Jiacheng Shang, Si Chen, and Jie Wu. 2018. Defending Against Voice Spoofing: A Robust Software-based Liveness Detection System. In 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 28--36."},{"key":"e_1_3_2_1_59_1","volume-title":"SRVoice: A Robust Sparse Representation-based Liveness Detection System. In 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 291--298","author":"Shang Jiacheng","year":"2018","unstructured":"Jiacheng Shang , Si Chen , and Jie Wut . 2018 . SRVoice: A Robust Sparse Representation-based Liveness Detection System. In 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 291--298 . Jiacheng Shang, Si Chen, and Jie Wut. 2018. SRVoice: A Robust Sparse Representation-based Liveness Detection System. In 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 291--298."},{"key":"e_1_3_2_1_60_1","volume-title":"Speech recognition with primarily temporal cues. Science 270, 5234","author":"Shannon Robert V","year":"1995","unstructured":"Robert V Shannon , Fan-Gang Zeng , Vivek Kamath , John Wygonski , and Michael Ekelid . 1995. Speech recognition with primarily temporal cues. Science 270, 5234 ( 1995 ), 303--304. Robert V Shannon, Fan-Gang Zeng, Vivek Kamath, John Wygonski, and Michael Ekelid. 1995. Speech recognition with primarily temporal cues. Science 270, 5234 (1995), 303--304."},{"key":"e_1_3_2_1_61_1","volume-title":"Speech, speaker and speaker's gender identification in automatically processed broadcast stream. Radioengineering","author":"Silovsk\u13f3 Jan","year":"2006","unstructured":"Jan Silovsk\u13f3 and Jan Nouza . 2006. Speech, speaker and speaker's gender identification in automatically processed broadcast stream. Radioengineering ( 2006 ). Jan Silovsk\u13f3 and Jan Nouza. 2006. Speech, speaker and speaker's gender identification in automatically processed broadcast stream. Radioengineering (2006)."},{"key":"e_1_3_2_1_62_1","volume-title":"AWR1642 mm-Wave sensor: 76--81-GHz radar-on-chip for short-range radar applications. Texas Instruments","author":"Singh J","year":"2017","unstructured":"J Singh , B Ginsburg , S Rao , and K Ramasubramanian . 2017. AWR1642 mm-Wave sensor: 76--81-GHz radar-on-chip for short-range radar applications. Texas Instruments ( 2017 ), 1--7. J Singh, B Ginsburg, S Rao, and K Ramasubramanian. 2017. AWR1642 mm-Wave sensor: 76--81-GHz radar-on-chip for short-range radar applications. Texas Instruments (2017), 1--7."},{"key":"e_1_3_2_1_63_1","volume-title":"Alexa and Siri Can Hear This Hidden Command. You Can't. (Published","author":"Smith Craig S.","year":"2018","unstructured":"Craig S. Smith . [n.d.]. Alexa and Siri Can Hear This Hidden Command. You Can't. (Published 2018 ). http:\/\/www.nytimes.com\/2018\/05\/10\/technology\/alexa-siri-hidden-command-audio-attacks.html Craig S. Smith. [n.d.]. Alexa and Siri Can Hear This Hidden Command. You Can't. (Published 2018). http:\/\/www.nytimes.com\/2018\/05\/10\/technology\/alexa-siri-hidden-command-audio-attacks.html"},{"key":"e_1_3_2_1_64_1","unstructured":"synopsys [n.d.]. High-Performance DSP and Control Processing for Complex 5G Requirements. https:\/\/www.synopsys.com\/designware-ip\/technical-bulletin\/high-performance-dsp-for-5g-dwtb-q418.html  synopsys [n.d.]. High-Performance DSP and Control Processing for Complex 5G Requirements. https:\/\/www.synopsys.com\/designware-ip\/technical-bulletin\/high-performance-dsp-for-5g-dwtb-q418.html"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2014.2320464"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"crossref","unstructured":"Jianglin Wang. 2013. Physiologically-motivated feature extraction methods for speaker recognition. (2013).  Jianglin Wang. 2013. Physiologically-motivated feature extraction methods for speaker recognition. (2013).","DOI":"10.1109\/ICASSP.2014.6853886"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737422"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/2789168.2790119"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1145\/3307334.3326073"},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2178248"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3354248"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/2942358.2942381"},{"key":"e_1_3_2_1_73_1","volume-title":"Commandersong: A systematic approach for practical adversarial voice recognition. In 27th {USENIX} Security Symposium ({USENIX} Security 18). 49--64.","author":"Yuan Xuejing","year":"2018","unstructured":"Xuejing Yuan , Yuxuan Chen , Yue Zhao , Yunhui Long , Xiaokang Liu , Kai Chen , Shengzhi Zhang , Heqing Huang , XiaoFeng Wang , and Carl A Gunter . 2018 . Commandersong: A systematic approach for practical adversarial voice recognition. In 27th {USENIX} Security Symposium ({USENIX} Security 18). 49--64. Xuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long, Xiaokang Liu, Kai Chen, Shengzhi Zhang, Heqing Huang, XiaoFeng Wang, and Carl A Gunter. 2018. Commandersong: A systematic approach for practical adversarial voice recognition. In 27th {USENIX} Security Symposium ({USENIX} Security 18). 49--64."},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1017\/S1759078711000122"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134052"},{"key":"e_1_3_2_1_76_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133962"},{"key":"e_1_3_2_1_77_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978296"},{"key":"e_1_3_2_1_78_1","doi-asserted-by":"publisher","DOI":"10.1145\/2973750.2973762"},{"key":"e_1_3_2_1_79_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning-Volume 70","author":"Zhao Mingmin","year":"2017","unstructured":"Mingmin Zhao , Shichao Yue , Dina Katabi , Tommi S Jaakkola , and Matt T Bianchi . 2017 . Learning sleep stages from radio signals: A conditional adversarial architecture . In Proceedings of the 34th International Conference on Machine Learning-Volume 70 . JMLR. org, 4100--4109. Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi S Jaakkola, and Matt T Bianchi. 2017. Learning sleep stages from radio signals: A conditional adversarial architecture. In Proceedings of the 34th International Conference on Machine Learning-Volume 70. JMLR. org, 4100--4109."},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1145\/3241539.3241575"}],"event":{"name":"SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems","location":"Virtual Event Japan","acronym":"SenSys '20","sponsor":["SIGMETRICS ACM Special Interest Group on Measurement and Evaluation","SIGCOMM ACM Special Interest Group on Data Communication","SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGOPS ACM Special Interest Group on Operating Systems","SIGBED ACM Special Interest Group on Embedded Systems","SIGARCH ACM Special Interest Group on Computer Architecture"]},"container-title":["Proceedings of the 18th Conference on Embedded Networked Sensor Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3384419.3430779","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3384419.3430779","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3384419.3430779","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:37Z","timestamp":1750197757000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3384419.3430779"}},"subtitle":["exploring a resilient and secure voice authentication via mmWave biometric interrogation"],"short-title":[],"issued":{"date-parts":[[2020,11,16]]},"references-count":80,"alternative-id":["10.1145\/3384419.3430779","10.1145\/3384419"],"URL":"https:\/\/doi.org\/10.1145\/3384419.3430779","relation":{},"subject":[],"published":{"date-parts":[[2020,11,16]]},"assertion":[{"value":"2020-11-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}