3 papers
cs.DS2026
Scalable K-clique Estimation with Differential Privacy
Dung Nguyen, Ritwick Mishra, Anil Vullikanti
Counts of -cliques are commonly used metrics in subgraph mining. Since graphs often have sensitive data, there also has been a lot of work on -clique counts with differential…
cs.LG2025
Improving Epidemic Analyses with Privacy-Preserving Integration of Sensitive Data
Zihan Guan, Zhiyuan Zhao, Fengwei Tian +5
Epidemic analyses increasingly rely on heterogeneous datasets, many of which are sensitive and require strong privacy protection. Although differential privacy (DP) has become a st…
cs.DS2025
Controlling the Spread of Epidemics on Networks with Differential Privacy
Dung Nguyen, Aravind Srinivasan, Renata Valieva +2
Designing effective strategies for controlling epidemic spread by vaccination is an important question in epidemiology, especially in the early stages when vaccines are limited. Th…