Tran, Cuong

13 publications

ICCV 2025 CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Trong Thang Pham, Akash Awasthi, Saba Khan, Esteban Duran Marti, Tien-Phat Nguyen, Khoa Vo, Minh Tran, Son Nguyen, Cuong Tran, Yuki Ikebe, Anh Totti Nguyen, Anh Nguyen, Zhigang Deng, Carol C. Wu, Hien Nguyen, Ngan Le

IJCAI 2024 On the Effects of Fairness to Adversarial Vulnerability Cuong Tran, Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto

ICML 2024 On the Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto

NeurIPSW 2024 The Data Minimization Principle in Machine Learning Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto

NeurIPS 2023 Data Minimization at Inference Time Cuong Tran, Ferdinando Fioretto

IJCAI 2023 On the Fairness Impacts of Private Ensembles Models Cuong Tran, Ferdinando Fioretto

IJCAI 2023 SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck

IJCAI 2022 Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu

NeurIPS 2022 Pruning Has a Disparate Impact on Model Accuracy Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu

IJCAI 2021 Decision Making with Differential Privacy Under a Fairness Lens Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao

NeurIPS 2021 Differentially Private Empirical Risk Minimization Under the Fairness Lens Cuong Tran, My Dinh, Ferdinando Fioretto

AAAI 2021 Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck

ECML-PKDD 2020 Lagrangian Duality for Constrained Deep Learning Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi