Projects per year
Personal profile
Biography
I am a Lecturer in the Department of Software Systems and Cybersecurity at the Faculty of Information Technology. I obtained my PhD degree from the University of Auckland in 2019. Before joining Monash University, I was a Post-Doc researcher in the Large-Scale Data & Systems (LSDS) group in the Department of Computing at Imperial College London, UK.
Research interests
My main research interests include applied cryptography, information security in cloud computing and distributed systems, trusted execution environments, and privacy-preserving machine learning.
Education/Academic qualification
Computer Science, PhD, University of Auckland
1 Jun 2015 → 30 Sept 2018
Award Date: 10 Jun 2019
Research area keywords
- Cloud Security
- Distributed Systems
- Trusted execution environments
- Side channel attacks
- Applied cryptography
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Quantum Information Technology: Quantum Information Technology: Industry Readiness & Applications
Steinfeld, R., simmons, M., Modi, K., Garcia De La Banda Garcia, M., Phung, D., Sakzad, A., Cui, S., Tack, G., Esgin, M., Usman, M., Fay, J., Pas, E., Aleti, A., Nakashima, P., Schmidt, D., Ruj, S. & Travaglione, B.
1/01/23 → 31/12/27
Project: Research
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CSIRO Next Generation Graduates Program: Privacy-Preserving Machine Learning: Technology Development and Adoption
Yuan, X., Liu, J., Ge, Z., Haffari, R., Yang, R., Yi, X., Sakzad, A., Fang, Y., Cui, S., Baiao Dowsley, R., Du, X., Salehi, M., Han, F., Wakefield, R., Abuadbba, S., Wu, T. & Liu, X.
1/01/23 → 31/12/27
Project: Research
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Algorand Centre of Excellence (ACE) on Sustainability Informatics for the Pacific
Liu, J., Rudolph, C., Pink, S., Yu, J., Gasevic, D., Steinfeld, R., Du, X., Liebman, A., Ma, X., Luebbers, J., Ince, P. D., Sakzad, A., Yuan, X., Baiao Dowsley, R., He, W., Ko, R. K. L., Dong, N., Kuchta, V., Komarek, A. M., Radke, A., Carvalho, G., Risius, M., Dargusch, P. J., Gramoli, V., Salampasis, D., Wang, Z., Au, M. H., Luo, X., Ali, S., Sharma, B., Boorman, J., Wainwright, T., Esgin, M., Cui, S. & Cui, H.
1/08/22 → 1/06/23
Project: Research
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Peer-to-Peer Energy Trading with Privacy and Fair Exchange
Hou, D., Zhang, J., Cui, S. & Liu, J. K., 2024, Proceedings - 2024 IEEE International Conference on Blockchain, Blockchain 2024. Sahay, R. & Li, W. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 174-182 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Unbiased Recommendation Through Invariant Representation Learning
Tang, M., Zou, L., Cui, S., Liang, S-N. & Jin, Z., 2024, Machine Learning and Knowledge Discovery in Databases - Applied Data Science Track - European Conference, ECML PKDD 2024 Vilnius, Lithuania, September 9–13, 2024 Proceedings, Part X. Bifet, A., Krilavičius, T., Miliou, I. & Nowaczyk, S. (eds.). Cham Switzerland: Springer, p. 280-296 17 p. (Lecture Notes in Computer Science; vol. 14950).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Citation (Scopus) -
CryptoMask: Privacy-Preserving Face Recognition
Bai, J., Zhang, X., Song, X., Shao, H., Wang, Q., Cui, S. & Russello, G., 2023, Information and Communications Security - 25th International Conference, ICICS 2023 Tianjin, China, November 18–20, 2023 Proceedings. Wang, D., Yung, M., Liu, Z. & Chen, X. (eds.). Singapore Singapore: Springer, p. 333-350 18 p. (Lecture Notes in Computer Science; vol. 14252).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
2 Citations (Scopus) -
Fault-tolerant Verifiable Encrypted Search on Blockchain
Chen, X. & Cui, S., 2023, Proceedings - 2023 IEEE International Conference on Blockchain, Blockchain 2023. Miche, Y. & Wang, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 377-384 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE
Wang, Q., Zhou, L., Bai, J., Koh, Y. S., Cui, S. & Russello, G., Dec 2023, In: Computers and Security. 135, 12 p., 103509.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile3 Citations (Scopus)