4 papers
Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images
Anh-Kiet Duong, Petra Gomez-Krämer, Hoà ng-Ãn Lê +1
Federated Learning (FL) enables collaborative model training while keeping training data localized, allowing us to preserve privacy in various domains including remote sensing. How…
Enhancing deep learning performance on burned area delineation from SPOT-6/7 imagery for emergency management
Maria Rodriguez, Minh-Tan Pham, Martin Sudmanns +2
After a wildfire, delineating burned areas (BAs) is crucial for quantifying damages and supporting ecosystem recovery. Current BA mapping approaches rely on computer vision models…
Adaptive federated learning for ship detection across diverse satellite imagery sources
Tran-Vu La, Minh-Tan Pham, Yu Li +2
We investigate the application of Federated Learning (FL) for ship detection across diverse satellite datasets, offering a privacy-preserving solution that eliminates the need for…
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning
Hoà ng-Ãn Lê, Paul Berg, Minh-Tan Pham
Object detection and semantic segmentation are both scene understanding tasks yet they differ in data structure and information level. Object detection requires box coordinates for…