Cuong Tran - RankMe

28 papers A* 10A 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	The Data Minimization Principle in Machine Learning. FAccT Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto
2024	J	`jnl`	Low-rank finetuning for LLMs: A fairness perspective. CoRR Saswat Das, Marco Romanelli, Cuong Tran, Zarreen Reza, Bhavya Kailkhura, Ferdinando Fioretto
2024	A*	`conf`	On The Fairness Impacts of Hardware Selection in Machine Learning. ICML Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto
2024	A*	`conf`	On the Effects of Fairness to Adversarial Vulnerability. IJCAI Cuong Tran, Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
2024	J	`jnl`	The Data Minimization Principle in Machine Learning. CoRR Prakhar Ganesh, Cuong Tran, Reza Shokri, Ferdinando Fioretto
2023	A*	`conf`	Data Minimization at Inference Time. NeurIPS Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	Data Minimization at Inference Time. CoRR Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	On The Fairness Impacts of Hardware Selection in Machine Learning. CoRR Sree Harsha Nelaturu, Nishaanth Kanna Ravichandran, Cuong Tran, Sara Hooker, Ferdinando Fioretto
2023	A*	`conf`	On the Fairness Impacts of Private Ensembles Models. IJCAI Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	On the Fairness Impacts of Private Ensembles Models. CoRR Cuong Tran, Ferdinando Fioretto
2023	J	`jnl`	Personalized Privacy Auditing and Optimization at Test Time. CoRR Cuong Tran, Ferdinando Fioretto
2023	A*	`conf`	SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. IJCAI Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
2022	A*	`conf`	Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. IJCAI Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
2022	J	`jnl`	Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. CoRR Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
2022	J	`jnl`	Fairness Increases Adversarial Vulnerability. CoRR Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
2022	A*	`conf`	Pruning has a disparate impact on model accuracy. NeurIPS Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu
2022	J	`jnl`	Pruning has a disparate impact on model accuracy. CoRR Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu
2022	J	`jnl`	SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. CoRR Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
2021	J	`jnl`	A Fairness Analysis on Private Aggregation of Teacher Ensembles. CoRR Cuong Tran, My H. Dinh, Kyle Beiter, Ferdinando Fioretto
2021	J	`jnl`	A Privacy-Preserving and Trustable Multi-agent Learning Framework. CoRR Anudit Nagar, Cuong Tran, Ferdinando Fioretto
2021	A*	`conf`	Decision Making with Differential Privacy under a Fairness Lens. IJCAI Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao
2021	J	`jnl`	Decision Making with Differential Privacy under a Fairness Lens. CoRR Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck
2021	J	`jnl`	Differentially Private Deep Learning under the Fairness Lens. CoRR Cuong Tran, My H. Dinh, Ferdinando Fioretto
2021	A*	`conf`	Differentially Private Empirical Risk Minimization under the Fairness Lens. NeurIPS Cuong Tran, My H. Dinh, Ferdinando Fioretto
2021	A*	`conf`	Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. AAAI Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
2021	A	`conf`	Privacy-Preserving and Accountable Multi-agent Learning. AAMAS Anudit Nagar, Cuong Tran, Ferdinando Fioretto
2020	J	`jnl`	Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. CoRR Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
2020	—	`conf`	Lagrangian Duality for Constrained Deep Learning. ECML/PKDD (5) Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi