Cuong Tran
Cuong Tran
Ph.D student, Syracuse University
Dirección de correo verificada de syr.edu
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Differentially private and fair deep learning: A lagrangian dual approach
C Tran, F Fioretto, P Van Hentenryck
arXiv preprint arXiv:2009.12562, 2020
122020
Lagrangian duality for constrained deep learning
F Fioretto, P Van Hentenryck, TWK Mak, C Tran, F Baldo, M Lombardi
arXiv preprint arXiv:2001.09394, 2020
82020
Gaussian process for noisy inputs with ordering constraints
C Tran, V Pavlovic, R Kopp
arXiv preprint arXiv:1507.00052, 2015
62015
A lagrangian dual framework for deep neural networks with constraints
F Fioretto, TWK Mak, F Baldo, M Lombardi, P Van Hentenryck
arXiv preprint arXiv:2001.09394, 2020
52020
Decision Making with Differential Privacy under a Fairness Lens
F Fioretto, C Tran, P Van Hentenryck
arXiv preprint arXiv:2105.07513, 2021
42021
Decision making with differential privacy under the fairness lens
C Tran, F Fioretto, P Van Hentenryck, Z Yao
Proceedings of the International Joint Conference on Artificial Intelligence …, 2021
42021
Unsupervised domain adaptation with copula models
CD Tran, OO Rudovic, V Pavlovic
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
22017
Intrusion detection under covariate shift using modified support vector machine and modified backpropagation
TD Cuong, NL Giang
Proceedings of the Third Symposium on Information and Communication …, 2012
22012
Privacy-Preserving and Accountable Multi-agent Learning
A Nagar, C Tran, F Fioretto
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
12021
A Fairness Analysis on Private Aggregation of Teacher Ensembles
C Tran, MH Dinh, K Beiter, F Fioretto
arXiv preprint arXiv:2109.08630, 2021
2021
Differentially Private Deep Learning under the Fairness Lens
C Tran, MH Dinh, F Fioretto
arXiv preprint arXiv:2106.02674, 2021
2021
A Privacy-Preserving and Trustable Multi-agent Learning Framework
A Nagar, C Tran, F Fioretto
arXiv preprint arXiv:2106.01242, 2021
2021
Unsupervised Domain Adaptation with Copula Models
O Rudovic, V Pavlovic
2017 IEEE International Workshop on Machine Learning for Signal Processing, 2017
2017
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