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
Volumetric data reconstruction using SIREN networks with advanced sparse sampling strategies (random, histogram-based, gradient-aware, hybrid, adaptive).
Repository of the project done for the course Laboratory of Computational Physics (Mod.A)
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