Biography
Kelvin Li is a mathematician with academic background across mathematics, theoretical computer science and machine learning. His research interests are in the mathematical aspects of cryptography, especially in lattice-based cryptography, homomorphic encryption, and quantum computing techniques used in cryptography proofs.
Kelvin Li completed his Bachelor and Master's degrees in mathematics at the University of Melbourne, and PhD in computer science at Monash University. Prior to Deakin, he was a research fellow in the School of Computing, ANU between 2019 and 2022.
Read more on Kelvin's profileResearch interests
Lattice-based cryptography, homomorphic encryption, computational complexity theory, quantum computing.
Units taught
- ANU, COMP8410 Data Mining, 2020 (Lecturer).
- Monash University, Graduate Diploma of Data Science, FIT5197 Modelling for Data Analysis, 2018 - 2019 (Lecturer).
Research groups
Student supervision:
Doctoral degree
- Gathika Ratnayaka (current), graph matching, 2022 to present. Co-supervised with A/Prof. Qing Wang in ANU's Graph Research Lab.
Masters degree
- Ruikang Zhou (completed), Computing COMP6715, 2021 semester 2. Distance matrix computation on homomorphically encrypted graphs.
Honours
- Xuning Tan (completed), Advanced Computing Research Project COMP4550, 2021 semester 2 to 2022 semester 1. Homomorphic encryption for tree isomorphism algorithms.
- Meilin Guo (completed), Advanced Computing Project COMP4560, 2021 semester 2 to 2022 semester 1. An experimental study of machine learning evaluation methods.
Awards
- Deakin Peer-Review ECR Support Scheme 2024 - Independently applied and awarded for $4250 for a lattice-based cryptography research project.
- Deakin CREST Collaboration Grants Scheme, 2023 Round 1. Real-time zero day attack intrusion prevention system. Funding awarded: $15000. Lead Dr. Keshav Sood.
Publications
Distributed Differentially Private Ranking Aggregation
Q Lan, B Song, Y Li, G Li
(2024), Vol. 11, pp. 503-513, IEEE Transactions on Computational Social Systems, C1
Private Graph Data Release: A Survey
Yang Li, Michael Purcell, Thierry Rakotoarivelo, David Smith, Thilina Ranbaduge, Kee Ng
(2023), Vol. 55, pp. 1-39, ACM Computing Surveys, New York, N.Y., C1
Split, Count, and Share: A Differentially Private Set Intersection Cardinality Estimation Protocol
Y Li, K Ng, M Purcell
(2023), Vol. 216, pp. 1684-1694, UAI 2023 : Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence 2023, Pittsburgh, PA., E1-1
Contrastive Learning for Supervised Graph Matching
G Ratnayaka, Q Wang, Y Li
(2023), Vol. 216, pp. 1718-1729, UAI 2023 : Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence, Pittsburgh, PA, E1
Distributed Differentially Private Ranking Aggregation
B Song, Q Lan, Y Li, G Li
(2022), Vol. 13280 LNAI, pp. 236-248, Advances in Knowledge Discovery and Data Mining, Chengdu, China, E1
dK-Personalization: Publishing Network Statistics with Personalized Differential Privacy
M Iftikhar, Q Wang, Y Li
(2022), Vol. 13280, pp. 194-207, PAKDD 2022 : Knowledge Discovery and Data Mining : Proceedings of the 26th Pacific- Asia Conference, Chengdu, China, E1-1
Y Li, L Allison, K Korb
(2021), Vol. 885, pp. 77-90, Theoretical Computer Science, Amsterdam, The Netherlands, C1-1
Kevin Korb, Erik Nyberg, Abraham Oshni Alvandi, Shreshth Thakur, Mehmet Ozmen, Yang Li, Ross Pearson, Ann Nicholson
(2020), Vol. 11, pp. 1-20, Frontiers in Psychology, Lausanne, Switzerland, C1-1
Funded Projects at Deakin
No Funded Projects at Deakin found
Supervisions
No completed student supervisions to report