Dung Nguyen

16 papers A* 5A 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentially private graph coloring.
CoRR
Michael Xie, Jiayi Wu, Dung Nguyen, Aravind Srinivasan
2025 J jnl
A Framework for Multi-source Privacy Preserving Epidemic Analysis.
CoRR
Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti
2025 A conf
Contrastive Explainable Clustering with Differential Privacy.
AAMAS
Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti
2025 J jnl
Controlling the Spread of Epidemics on Networks with Differential Privacy.
CoRR
Dung Nguyen, Aravind Srinivasan, Renata Valieva, Anil Vullikanti, Jiayi Wu
2024 A conf
Computing epidemic metrics with edge differential privacy.
AISTATS
George Z. Li, Dung Nguyen, Anil Vullikanti
2024 J jnl
Contrastive explainable clustering with differential privacy.
CoRR
Dung Nguyen, Ariel Vetzler, Sarit Kraus, Anil Vullikanti
2024 A* conf
Differentially private exact recovery for stochastic block models.
ICML
Dung Nguyen, Anil Kumar S. Vullikanti
2024 J jnl
Differentially private exact recovery for stochastic block models.
CoRR
Dung Nguyen, Anil Vullikanti
2023 A* conf
Differentially Private Partial Set Cover with Applications to Facility Location.
IJCAI
George Z. Li, Dung Nguyen, Anil Vullikanti
2023 A* conf
Faster approximate subgraph counts with privacy.
NeurIPS
Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti
2022 A* conf
Differentially Private Community Detection for Stochastic Block Models.
ICML
Mohamed S. Mohamed, Dung Nguyen, Anil Vullikanti, Ravi Tandon
2022 J jnl
Differentially Private Community Detection for Stochastic Block Models.
CoRR
Mohamed Seif, Dung Nguyen, Anil Vullikanti, Ravi Tandon
2022 J jnl
Differentially Private Partial Set Cover with Applications to Facility Location.
CoRR
George Z. Li, Dung Nguyen, Anil Vullikanti
2021 A* conf
Differentially Private Densest Subgraph Detection.
ICML
Dung Nguyen, Anil Vullikanti
2021 J jnl
Differentially Private Densest Subgraph Detection.
CoRR
Dung Nguyen, Anil Vullikanti
2021 J jnl
Privacy-first health research with federated learning.
npj Digit. Medicine
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