ModelFLOWs application
[NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
A Python implementation of RSLDA (paper "Robust Sparse Linear Discriminant Analysis").
Step by step data reconstruction attacks from the paper "Vulnerability of Transfer-Learned Neural Networks to Data Reconstruction Attacks in Small-Data Regime".
Benchmark for Evaluating Data Reconstruction using Vector Quantization
Repository of the project done for the course Laboratory of Computational Physics (Mod.A)
Volumetric data reconstruction using SIREN networks with advanced sparse sampling strategies (random, histogram-based, gradient-aware, hybrid, adaptive).
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