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) !
News
May, 2025
Two of our papers — FedDDF: Dynamic Dataset Filtering in Federated Large Language Model Training and FedKoE: Enhancing Federated Multimodal Learning through Knowledge of Experts — have been accepted at The International Workshop on Secure and Efficient Federated Learning in conjunction with ACM AsiaCCS 2025 (FL-AsiaCCS’25).
January, 2025
Our paper titled Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks has been accepted at The International Conference on Learning Representations (ICLR 2025). You can access the paper here.
December, 2024
Our paper titled Benchmarking Federated Few-shot Learning for Video-based Action Recognition has been accepted at IEEE Access.
December, 2024
Welcome to our new Research Assistant Intern, Nguyen Nguyen Linh Bao, who will be working on the topic of Generative Model.
October, 2024
New Project Launch: Improving NLP Applications in Low-resource Languages: One Country and One Use Case At A Time, A Cross-College Project at VinUniversity.