1 citations · 1 across the 3 of their papers we have counts for
3 papers
ToFU: Transforming How Federated Learning Systems Forget User Data
Van-Tuan Tran, Hong-Hanh Nguyen-Le, Quoc-Viet Pham
Neural networks unintentionally memorize training data, creating privacy risks in federated learning (FL) systems, such as inference and reconstruction attacks on sensitive data. T…
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen +1
Deepfake (DF) detectors face significant challenges when deployed in real-world environments, particularly when encountering test samples deviated from training data through either…
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
Van-Tuan Tran, Huy-Hieu Pham, Kok-Seng Wong
Federated learning (FL) is recently surging as a promising decentralized deep learning (DL) framework that enables DL-based approaches trained collaboratively across clients withou…