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
Sep, 2024
Welcome to our new RA, Tran Quang Thuan. He will work on the topic Generative Model.
August, 2024
5 new papers on arXiv! 1. Towards Clean-Label Backdoor Attacks in the Physical World, 2. Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks, 3. Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator, 4. Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape, and 5. Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning.
July, 2024
Congrats, Nguyen Tran Huu Thinh (Lucaz) is now a Ph.D. Candidate in Computer Science at VinUniversity, Vietnam!
June, 2024
Our member attended CVPR 2024. The paper titled Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization was presented at the conference. The paper is available here.
June, 2024
Our Farm2Vet team has won the grand prize of The Trinity Challenge 2024, securing £1 million in funding for our virtual veterinary platform for farmers. You can access the project here.