Jul 20, 2018 · In this work, we extend physical attacks to more challenging object detection models, a broader class of deep learning algorithms widely used to detect and ...
scholar.google.com › citations
In this work, we start exploring physical adversarial examples for ob- ject detection networks, a richer class of deep learning algorithms that can detect and ...
People also ask
What is an adversarial example in the physical world?
What is an example of object detection?
What are adversarial examples?
What are three examples of adversarial machine learning and types of attacks it can stop?
We demonstrate physical adversarial examples against the YOLO detector, a popular state-of-the-art algorithm with good real-time performance. Our examples take ...
Natural and robust physical adversarial examples for object ...
www.sciencedirect.com › article › pii
In this paper, we propose a natural and robust physical adversarial example attack method targeting object detectors under real-world conditions.
This work improves upon a previous physical attack on image classifiers, and creates perturbed physical objects that are either ignored or mislabeled by ...
People also search for
Digital attacks directly manipulate the pixel values of the input images [1, 65], which presume full access to the images. Hence the util- ity of digital ...
A Paperlist of Adversarial Attack on Object Detection · Surveys · Planar Patches Attack · Pixel-wise Attack · Wearable Patches Attack · Non-Planar Patches/Painting ...
Nov 27, 2020 · In this paper, we propose a natural and robust physical adversarial example attack method targeting object detectors under real-world conditions.
Deep neural networks (DNNs) are vulnerable to adversarial examples--maliciously crafted inputs that cause DNNs to make incorrect predictions.
In this paper, we propose a natural and robust physical adversarial example attack method targeting object detectors under real-world conditions.