Download CV

Wanli Xue

UNSW
w.xue@unsw.edu.au
publications can be accessed: google scholar

Select Publications

Journal

W. Xue , P. Gauravaram, A. Seneviratne, W. Hu and S. Jha, “BFace: Efficient Privacy-Preserving Face Representation in Bloom Filter Space”, under review.

N. Ahmed, R. A. Michelin, W. Xue, S. Ruj, R. Malaney, S. S. Kanhere, A. Seneviratne, W. Hu, H. Janicke, and S.Jha," A Survey of COVID-19 Contact Tracing Apps", under review.

W. Xue, C. Luo, Y. Shen, C. Luo, R. Rana, G. Lan, S. Jha, A. Senveviratne and W. Hu, “Toward Privacy-preserving Edge-based Classification with Differential Privacy,” under review.

W. Xue , D. Vatsalan, W. Hu and A. Seneviratne, “Sequence Data Matchings and Beyond: New Privacy- preserving Primitives based on Bloom Filters,” TIFS,2020.

W. Xue, Y. Shen, C. Luo, W. Hu, and A. Seneviratne, “Towards A Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things”, TMC,2020.

Q.Yang, Y. Shen, F. Yang, J. Zhang, W. Xue , and H. Wen, “HealCam: Energy-efficient and privacy- preserving human vital cycles monitoring on camera-enabled smart devices,” Elsevier Computer Networks.

C. Luo, X. Liu, W. Xue,Y. Shen, J. Li, W. Hu, and Alex X. Liu, “ Predictable Privacy-Preserving Mobile Crowd Sensing: A Tale of Two Roles,” Accepted to IEEE/ACM Transactions on Networking.

Conference

W. Xu, C. Luo, X.Yu, W. Xue, B. Wei, Z. Li, J. Wang and A. Zomaya, "InaudibleKey: Generic Inaudible Acoustic Signal based Key Generation Protocol for Mobile Devices", under review.

W. Xue , A. Seneviratne, W. Hu and S. Jha, “BFace: Efficient Privacy-Preserving Face Representation in Bloom Filter Space”, ETSecIoT Workshop, Best paper runner up ,video related to this is availalbe at: here

W. Xue , Y. Shen, W. Hu, and A. Seneviratne, “Acies: A Privacy-Preserving System for Edge-based Classification,” In The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (Trustcom), April 2018. ( ERA Rank A)

W. Xue , C. Luo, G. Lan, R. Rana, W. Hu, and A. Seneviratne, “Kryptein: A Compressive-Sensing-Based Encryption Scheme for the Internet of Things,” In ACM/IEEE International Conference on Information Processing on Sensor Networks (IPSN), April 2017. (Acceptance rate: 19/104=18% ERA Rank A*). video related to this is availalbe at: here

W. Xue , H. Chung, SC. Han, Y. Kim, and BH. Kang, “Arduface: An Embedded System Analysis Tool,” In Pacific Rim International Conference on Artificial Intelligence (PRICAI), Dec 2014. (ERA Rank B). video related to this is availalbe at: here

Poster & Demo Abstrat

W. Xue, C. Luo, R. Rana, W. Hu and A. Seneviratne, “CScrypt: A Compressive-Sensing-Based Encryption Engine for the Internet of Things: Demo Abstract,” In Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems (Sensys), Nov 2016.