Ngoc-Bao Nguyen

22 papers A* 4Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Model Inversion Attacks on Vision-Language Models: Do They Leak What They Learn?
CoRR
Ngoc-Bao Nguyen, Sy-Tuyen Ho, Koh Jun Hao, Ngai-Man Cheung
2025 J jnl
Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?
Trans. Mach. Learn. Res.
Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ira Assent, Alex C. Kot, Ngai-Man Cheung
2025 J jnl
Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment.
CoRR
Sy-Tuyen Ho, Koh Jun Hao, Ngoc-Bao Nguyen, Alexander Binder, Ngai-Man Cheung
2024 J jnl
Defending against Model Inversion Attacks via Random Erasing.
CoRR
Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ngai-Man Cheung
2024 A* conf
Model Inversion Robustness: Can Transfer Learning Help?
CVPR
Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung
2024 J jnl
Model Inversion Robustness: Can Transfer Learning Help?
CoRR
Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung
2024 J jnl
Multimodal Preference Data Synthetic Alignment with Reward Model.
CoRR
Robert Wijaya, Ngoc-Bao Nguyen, Ngai-Man Cheung
2024 — conf
On the Vulnerability of Skip Connections to Model Inversion Attacks.
ECCV (81)
Koh Jun Hao, Sy-Tuyen Ho, Ngoc-Bao Nguyen, Ngai-Man Cheung
2024 J jnl
On the Vulnerability of Skip Connections to Model Inversion Attacks.
CoRR
Koh Jun Hao, Sy-Tuyen Ho, Ngoc-Bao Nguyen, Ngai-Man Cheung
2023 A* conf
Label-Only Model Inversion Attacks via Knowledge Transfer.
NeurIPS
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
2023 J jnl
Label-Only Model Inversion Attacks via Knowledge Transfer.
CoRR
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
2023 A* conf
Re-Thinking Model Inversion Attacks Against Deep Neural Networks.
CVPR
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
2023 J jnl
Re-thinking Model Inversion Attacks Against Deep Neural Networks.
CoRR
Ngoc-Bao Nguyen, Keshigeyan Chandrasegaran, Milad Abdollahzadeh, Ngai-Man Cheung
2021 J jnl
On Data Augmentation for GAN Training.
IEEE Trans. Image Process.
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Trung-Kien Nguyen, Ngai-Man Cheung
2020 J jnl
Towards Good Practices for Data Augmentation in GAN Training.
CoRR
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Trung-Kien Nguyen, Ngai-Man Cheung
2019 J jnl
An Improved Self-supervised GAN via Adversarial Training.
CoRR
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Ngai-Man Cheung
2019 A* conf
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game.
NeurIPS
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
2019 J jnl
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game.
CoRR
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Linxiao Yang, Ngai-Man Cheung
2017 — conf
Graph-based visual instance mining with geometric matching and nearest candidates selection.
KSE
Ngoc-Bao Nguyen, Khang M. T. T. Nguyen, Cuong Mai Van, Duy-Dinh Le
2017 J jnl
Person re-identification with mutual re-ranking.
Vietnam. J. Comput. Sci.
Ngoc-Bao Nguyen, Vu Hoang Nguyen, Thanh Duc Ngo, Khang M. T. T. Nguyen
2015 — conf
AttRel: An Approach to Person Re-Identification by Exploiting Attribute Relationships.
MMM (2)
Ngoc-Bao Nguyen, Vu Hoang Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Duc Anh Duong
2014 — conf
Using Attribute Relationships for Person Re-Identification.
KSE
Ngoc-Bao Nguyen, Vu Hoang Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Duc Anh Duong