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Found 4 papers, 1 papers with code
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis
Deep neural networks were shown to be vulnerable to single pixel modifications.
Attacking Convolutional Neural Network using Differential Evolution
The attack only requires modifying 5 pixels with 20. 44, 14. 76 and 22. 98 pixel values distortion.
Lightweight Classification of IoT Malware based on Image Recognition
The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very large number of smart devices, such as home appliances, network cameras, sensors and controllers to connect to one another to share information and improve user experiences.
One pixel attack for fooling deep neural networks
The results show that 67. 97% of the natural images in Kaggle CIFAR-10 test dataset and 16. 04% of the ImageNet (ILSVRC 2012) test images can be perturbed to at least one target class by modifying just one pixel with 74. 03% and 22. 91% confidence on average.
