2 papers
cs.LG2026
From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation
Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk +1
High-resolution rainfall observations are crucial for weather forecasting, water management, and hazard mitigation. Traditional operational measurements are often biased and low-re…
cs.LG2024
Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?
Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai +4
Model Inversion (MI) attacks pose a significant privacy threat by reconstructing private training data from machine learning models. While existing defenses primarily concentrate o…