← Authors

Cuong Tran

11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (14) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) 🀝 Dynamic Duo (10) πŸ’Ž Century Club (11) πŸ”₯ Unstoppable (5)

Conferences

IJCAI (5) NIPS (3) AAAI (1) ICCV (1) ICML (1)

Top co-authors

Ferdinando Fioretto (10) Pascal Van Hentenryck (5) Keyu Zhu (3) Esteban Duran Marti (1) Ngan Le (1) Akash Awasthi (1) Zhiyan Yao (1) My Dinh (1) Yuki Ikebe (1) Jung-Eun Kim (1)

Research topics

Differential Privacy (2)

Keywords

differential privacy (5) algorithmic fairness (3) privacy preservation (2) disparate impact (2) group disparity (2) knowledge distillation (1) medical imaging (1) adversarial robustness (1) deep learning (1) fairness constraint (1) eye tracking (1) empirical risk minimization (1) gaze prediction (1) resource allocation (1) network pruning (1) group fairness (1) gradient norm (1) decision boundary (1) bias mitigation (1) 3d vision (1)

Papers

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling ICCV 2025
On the Effects of Fairness to Adversarial Vulnerability IJCAI 2024
On The Fairness Impacts of Hardware Selection in Machine Learning ICML 2024
On the Fairness Impacts of Private Ensembles Models IJCAI 2023
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles IJCAI 2023
Data Minimization at Inference Time NIPS 2023
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey IJCAI 2022
Pruning has a disparate impact on model accuracy NIPS 2022
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach AAAI 2021
Decision Making with Differential Privacy under a Fairness Lens IJCAI 2021
Differentially Private Empirical Risk Minimization under the Fairness Lens NIPS 2021