ManiGen: A Manifold Aided Black-Box Generator of Adversarial Examples

ManiGen: A Manifold Aided Black-Box Generator of Adversarial Examples

<p dir="ltr">From recent research work, it has been shown that neural network (NN) classifiers are vulnerable to adversarial examples which contain special perturbations that are ignored by human eyes while can mislead NN classifiers. In this paper, we propose a practical black-box a...

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Bibliographic Details
Main Author: Guanxiong Liu (2104315) (author)
Other Authors: Issa Khalil (16855449) (author), Abdallah Khreishah (16855455) (author), Abdulelah Algosaibi (18973903) (author), Adel Aldalbahi (18973906) (author), Mohammed Alnaeem (18973909) (author), Abdulaziz Alhumam (18973912) (author), Muhammad Anan (18973915) (author)
Published: 2020
Subjects:
Information and computing sciences
Cybersecurity and privacy
Data management and data science
Machine learning
Adversarial examples
machine learning
neural network
manifold
Generators
Manifolds
Artificial neural networks
Optimization
Perturbation methods
Search problems
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