Cuong Tran
11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
π€
Dynamic Duo
(10)
π
Century Club
(11)
π₯
Unstoppable
(5)
Conferences
IJCAI (5)
NIPS (3)
AAAI (1)
ICCV (1)
ICML (1)
Top co-authors
Research topics
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