
Machine Learning for Security and Security for Machine Learning with Nicole Nichols - TWiML Talk #252
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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.
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