An Improved Genetic Algorithm and Its Application in Neural Network Adversarial Attack

By Dingming Yang et al.

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Table of Contents

1 Introduction
2 Related Works
3 Approaches
4 Numerical Experiments and Analysis

Summary

The document discusses an improved genetic algorithm and its application in neural network adversarial attacks. It proposes enhancements to the crossover and mutation operations of the genetic algorithm, showing improved searchability, convergence efficiency, and precision. The algorithm's effectiveness is verified through experiments and applications in the field of neural network adversarial attacks. The paper presents significant contributions and discusses related works in the field of optimization algorithms and neural network security.