AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Enhancing Fuzz Testing with GANs
This chapter explores the application of Generative Adversarial Networks (GANs) in software fuzz testing, emphasizing their ability to distinguish real from synthetic data. It highlights the use of GAN-augmented seed files to improve the efficiency of code path identification, ultimately aiding in the detection of software vulnerabilities.