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.
October, 2024
New Project: Green Serverless Computing for Resource-Efficient AI Training at the Center for Environment Intelligence, VinUniversity, Hanoi, Vietnam.
October, 2024
Our paper titled Towards Good Practice for Convolution and Attention with PANs in Federated Medical Image Classification has been accepted at Journal of Supercomputing.
September, 2024
We developed a web-based platform to track and filter research papers on Federated Learning, Trustworthy AI, Large Language Models, and Multimodal Machine Learning, sourced from IEEE Xplore, ACM, ScienceDirect, Springer, OpenReview, arXiv, DBLP, and Google Scholar.
September, 2024
Welcome to our new Research Assistant Intern, Tran Quang Thuan, who will be working on the topic of Generative Model.
August, 2024
Towards Clean-Label Backdoor Attacks in the Physical World released on arXiv.
August, 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks released on arXiv.
August, 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator released on arXiv.
August, 2024
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape released on arXiv.
August, 2024
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning released on arXiv.
July, 2024
Our paper titled HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation has been accepted at The 18th European Conference on Computer Vision (ECCV 2024). You can access the paper here.
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.
May, 2024
New paper on arXiv! Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective.
May, 2024
We attended ICLR 2024. Our paper titled Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks was presented at the conference. The paper is available here.
May, 2024
One paper titled Fooling the Textual Fooler via Randomizing Latent Representations has been accepted at Findings of the Association for Computational Linguistics: (ACL’24). You can access the paper here.
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.
December, 2023
We attended NeurIPS 2023. Our paper titled IBA: Towards Irreversible Backdoor Attacks in Federated Learning was presented at the conference. The paper is available here. We also oganized a workshop on Backdoors in Deep Learning - The Good, the Bad, and the Ugly. The recorded video is available here.
November, 2023
One paper titled FedFSLAR: A Federated Learning Framework for Few-shot Action Recognition has been accepted at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2024) Workshop.
November, 2023
SAIL and MAIL lab members participated in ACML conference 2023. Tuan Nguyen presented our paper titled An Empirical Study of Federated Unlearning: Efficiency and Effectiveness. The code is available here.
September 2023
Our paper titled IBA: Towards Irreversible Backdoor Attacks in Federated Learning has been accepted at Conference on Neural Information Processing Systems (NeurIPS 2023). You can access the paper here.
September 2023
Our survey paper titled Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions has been accepted at Engineering Applications of Artificial Intelligence (EAAI). You can access the paper here.
September 2023
Our paper titled An Empirical Study of Federated Unlearning: Efficiency and Effectiveness has been accepted at Asian Conference on Machine Learning (ACML 2023). You can access the paper here.
August 2023
Congrats, Nguyen Thuy Dung will pursue her Ph.D. at the University of Valderbilt, USA
July 2023
Congrats, Our BUG workshop proposal on Backdoors in Deep Learning - The Good, the Bad, and the Ugly got accepted at NeurIPS 2023.
May 2023
New paper on arXiv! An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity.
May 2023
Our paper titled FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection has been accepted at The International Joint Conference on Neural Networks (IJCNN 2023). You can access the paper here.
March 2023
One paper titled Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions. You can access the paper here.
January 2023
Congrats, Tuan Nguyen is now a Ph.D. Candidate in Computer Science at VinUniversity, Vietnam!