3 papers
cs.CV2026
Uncertainty-Guided Edge Learning for Deep Image Regression in Remote Sensing
Anh Vu Nguyen, Dino Sejdinovic, Tat-Jun Chin
Edge learning refers to training machine learning models deployed on edge platforms, typically using new data accumulated onboard. The computational limitations on edge devices aff…
eess.IV2026
SAAIPAA: Optimizing aspect-angles-invariant physical adversarial attacks on SAR target recognition models
Isar Lemeire, Yee Wei Law, Sang-Heon Lee +2
Synthetic aperture radar (SAR) enables versatile, all-time, all-weather remote sensing. Coupled with automatic target recognition (ATR) leveraging machine learning (ML), SAR is emp…
cs.CV2025
Robust Physical Adversarial Patches Using Dynamically Optimized Clusters
Harrison Bagley, Will Meakin, Simon Lucey +2
Physical adversarial attacks on deep learning systems is concerning due to the ease of deploying such attacks, usually by placing an adversarial patch in a scene to manipulate the…