The adversarial patch attack against image classification models aims to...
An adversarial patch can arbitrarily manipulate image pixels within a
re...
We focus on the use of proxy distributions, i.e., approximations of the
...
State-of-the-art object detectors are vulnerable to localized patch hidi...
Localized adversarial patches aim to induce misclassification in machine...
Deep neural networks (DNNs) have recently been widely adopted in various...
Machine learning models especially deep neural networks (DNNs) have been...