Dung Nguyen

According to our database, Dung Nguyen authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Framework for Multi-source Privacy Preserving Epidemic Analysis.

Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti

CoRR, June, 2025

Controlling the Spread of Epidemics on Networks with Differential Privacy.

Dung Nguyen, Aravind Srinivasan, Renata Valieva, Anil Vullikanti, Jiayi Wu

CoRR, June, 2025

Contrastive Explainable Clustering with Differential Privacy.

Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Differentially private exact recovery for stochastic block models.

Dung Nguyen, Anil Kumar S. Vullikanti

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Computing epidemic metrics with edge differential privacy.

George Z. Li, Dung Nguyen, Anil Vullikanti

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Faster approximate subgraph counts with privacy.

Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Partial Set Cover with Applications to Facility Location.

George Z. Li, Dung Nguyen, Anil Vullikanti

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Differentially Private Community Detection for Stochastic Block Models.

Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon

CoRR, 2022

Differentially Private Community Detection for Stochastic Block Models.

Mohamed S. Mohamed, Dung Nguyen, Anil Vullikanti, Ravi Tandon

Proceedings of the International Conference on Machine Learning, 2022

2021

Privacy-first health research with federated learning.

Adam Sadilek, Luyang Liu, Dung Nguyen, Methun Kamruzzaman, Stylianos Serghiou, Benjamin Rader, Alex Ingerman, Stefan Mellem, Peter Kairouz, Elaine O. Nsoesie, Jamie Macfarlane, Anil Vullikanti, Madhav V. Marathe, Paul Eastham, John S. Brownstein, Blaise Agüera y Arcas, Michael D. Howell, John Hernandez

npj Digit. Medicine, 2021

Differentially Private Densest Subgraph Detection.

Dung Nguyen, Anil Vullikanti

Proceedings of the 38th International Conference on Machine Learning, 2021