Cuong Tran
11 papers · 2021–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (14) π€ Dynamic Duo (10) π Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Keywords
differential privacy
(5)
algorithmic fairness
(3)
group disparity
(2)
privacy preservation
(2)
disparate impact
(2)
knowledge distillation
(1)
medical imaging
(1)
adversarial robustness
(1)
gradient norm
(1)
network pruning
(1)
deep learning
(1)
eye tracking
(1)
empirical risk minimization
(1)
gaze prediction
(1)
bias mitigation
(1)
3d vision
(1)
gradient flow
(1)
decision boundary
(1)
resource allocation
(1)
fairness
(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
Data Minimization at Inference Time
NeurIPS 2023
On the Fairness Impacts of Private Ensembles Models
IJCAI 2023
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
IJCAI 2023
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
IJCAI 2022
Pruning has a disparate impact on model accuracy
NeurIPS 2022
Decision Making with Differential Privacy under a Fairness Lens
IJCAI 2021
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach
AAAI 2021
Differentially Private Empirical Risk Minimization under the Fairness Lens
NeurIPS 2021