Cuong Tran

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 22

Top Topics

Lagrangian Dual

Privacy Preserving

Differentially Private

Top Venues

Publications

Cuong Tran, Ferdinando Fioretto
On the Fairness Impacts of Private Ensembles Models. CoRR (2023)
Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. IJCAI (2023)
Cuong Tran, Ferdinando Fioretto
Data Minimization at Inference Time. CoRR (2023)
Cuong Tran, Ferdinando Fioretto
Personalized Privacy Auditing and Optimization at Test Time. CoRR (2023)
Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto
On The Fairness Impacts of Hardware Selection in Machine Learning. CoRR (2023)
Cuong Tran, Ferdinando Fioretto
On the Fairness Impacts of Private Ensembles Models. IJCAI (2023)
Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu
Pruning has a disparate impact on model accuracy. NeurIPS (2022)
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. IJCAI (2022)
Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
Fairness Increases Adversarial Vulnerability. CoRR (2022)
Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. CoRR (2022)
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. CoRR (2022)
Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu
Pruning has a disparate impact on model accuracy. CoRR (2022)
Anudit Nagar, Cuong Tran, Ferdinando Fioretto
A Privacy-Preserving and Trustable Multi-agent Learning Framework. CoRR (2021)
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck
Decision Making with Differential Privacy under a Fairness Lens. CoRR (2021)
Anudit Nagar, Cuong Tran, Ferdinando Fioretto
Privacy-Preserving and Accountable Multi-agent Learning. AAMAS (2021)
Cuong Tran, My H. Dinh, Ferdinando Fioretto
Differentially Private Deep Learning under the Fairness Lens. CoRR (2021)
Cuong Tran, My H. Dinh, Kyle Beiter, Ferdinando Fioretto
A Fairness Analysis on Private Aggregation of Teacher Ensembles. CoRR (2021)
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao
Decision Making with Differential Privacy under a Fairness Lens. IJCAI (2021)
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. AAAI (2021)
Cuong Tran, My H. Dinh, Ferdinando Fioretto
Differentially Private Empirical Risk Minimization under the Fairness Lens. NeurIPS (2021)
Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi
Lagrangian Duality for Constrained Deep Learning. ECML/PKDD (5) (2020)
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. CoRR (2020)