Minimal Finite Covering

This repository implements the minimal finite covering problem and its application, and is the official source code for paper "Is Adversarial Training with Compressed Datasets Effective?" (Chen & Selvan. 2024). For more information, contact: Tong Chen (toch@di.ku.dk).

Requirements

torch, numpy, scipy, gurobipy (license is required)

Basic Usage

Finite covering with fixed number $k$ and minimum radius $\eta$.

sub_data, eta, sol = FC(data).gen_data(A, k=k, save=False)

Finite covering with fixed radius $\eta$ and minimum number $k$.

sub_data, eta, sol = FC(data).gen_data(A, eta=eta, save=False)