FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors

Tianfang Zhang; Cong Shi; Zhengkun Ye; Yan Wang; Ahmed Tanvir Mahdad; Nitesh Saxena; Md Mojibur Rahman; Redoy Akanda; Yingying Chen

doi:10.1145/3576915.3623102

FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors

Tianfang Zhang
, Cong Shi
, Zhengkun Ye
, Yan Wang
, Ahmed Tanvir Mahdad
, Nitesh Saxena
, Md Mojibur Rahman
, Redoy Akanda
, Yingying Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
Publisher	Association for Computing Machinery, Inc
Pages	446-459
Number of pages	14
ISBN (Electronic)	9798400700507
DOIs	https://doi.org/10.1145/3576915.3623102
State	Published - Nov 21 2023
Externally published	Yes
Event	30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023 - Copenhagen, Denmark Duration: Nov 26 2023 → Nov 30 2023

Publication series

Name	CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

Conference

Conference	30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023
Country/Territory	Denmark
City	Copenhagen
Period	11/26/23 → 11/30/23

ASJC Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications
Software

Keywords

AR/VR headsets
Motion sensors
Sensitive info
Vital sign

Access to Document

10.1145/3576915.3623102

Cite this

Zhang, T., Shi, C., Ye, Z., Wang, Y., Mahdad, A. T., Saxena, N., Rahman, M. M., Akanda, R., & Chen, Y. (2023). FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors. In CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (pp. 446-459). (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security). Association for Computing Machinery, Inc. https://doi.org/10.1145/3576915.3623102

FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors. / Zhang, Tianfang; Shi, Cong; Ye, Zhengkun et al.
CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc, 2023. p. 446-459 (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, T, Shi, C, Ye, Z, Wang, Y, Mahdad, AT, Saxena, N, Rahman, MM, Akanda, R & Chen, Y 2023, FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors. in CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, Association for Computing Machinery, Inc, pp. 446-459, 30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023, Copenhagen, Denmark, 11/26/23. https://doi.org/10.1145/3576915.3623102

Zhang T, Shi C, Ye Z, Wang Y, Mahdad AT, Saxena N et al. FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors. In CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc. 2023. p. 446-459. (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security). doi: 10.1145/3576915.3623102

Zhang, Tianfang ; Shi, Cong ; Ye, Zhengkun et al. / FaceReader : Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors. CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc, 2023. pp. 446-459 (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security).

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keywords = "AR/VR headsets, Motion sensors, Sensitive info, Vital sign",

author = "Tianfang Zhang and Cong Shi and Zhengkun Ye and Yan Wang and Mahdad, \{Ahmed Tanvir\} and Nitesh Saxena and Rahman, \{Md Mojibur\} and Redoy Akanda and Yingying Chen",

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FaceReader: Unobtrusively Mining Vital Signs and Vital Sign Embedded Sensitive Info via AR/VR Motion Sensors

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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