Welcome to the Security and Artificial Intelligence Lab

Our research group is situated within VinUniversity’s College of Engineering and Computer Science. We specialize in the field of trustworthy AI, with a core focus on simplifying the development and deployment of machine learning models while ensuring their robustness. Our research encompasses low-complexity generative approaches, strengthening algorithmic robustness, and tackling critical challenges in machine learning and federated learning to enhance security, privacy, efficiency, and fairness.

We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !


February, 2024

One paper titled Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization has been accepted at Conference on Computer Vision and Pattern Recognition 2024 (CVPR’24).

January, 2024

One paper titled Towards Efficient Communication Federated Recommendation System via Low-rank Training has been accepted at The Web Conference 2024 (WWW’24). You can access the paper here.

January, 2024

One paper titled Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks has been accepted at International Conference on Learning Representations (ICLR’24). You can access the paper here.

January, 2024

One paper titled Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning has been accepted by IEEE Transactions on Emerging Topics in Computing. You can access the paper here.

January, 2024

Congrats, Le Huy Khiem will pursue his Ph.D. at the University of Notre Dame, USA under the supervision of Prof. Nitesh Vijay Chawla.

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