Machine Learning Attack Series: Generative Adversarial Networks (GANs)
infonews
securityresearch
Source: Embrace The RedNovember 25, 2020
Summary
This post describes how Generative Adversarial Networks (GANs, a type of AI system where two neural networks compete to create realistic fake images) can be used to generate fake husky photos that trick an image recognition system called Husky AI into misclassifying them as real huskies. The author explains they investigated this attack method and references a GAN course to learn more about the technique.
Classification
Attack Type
Model Evasion
Attack SophisticationModerate
Impact (CIA+S)
integrity
AI Component TargetedModel
Affected Vendors
Related Issues
Original source: https://embracethered.com/blog/posts/2020/machine-learning-attack-series-generative-adversarial-networks-gan/
First tracked: February 12, 2026 at 02:20 PM
Classified by LLM (prompt v3) · confidence: 75%