Z Qin, Y Fan, Y Liu, L Shen, Y Zhang… - Advances in neural …, 2022 - proceedings.neurips.cc
Deep neural networks (DNNs) have been shown to be vulnerable to adversarial examples, which can produce erroneous predictions by injecting imperceptible perturbations. In this …
J Xiao, Y Fan, R Sun, J Wang… - Advances in Neural …, 2022 - proceedings.neurips.cc
In adversarial machine learning, deep neural networks can fit the adversarial examples on the training dataset but have poor generalization ability on the test set. This phenomenon is …
PN Williams, K Li - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Deep neural networks (DNNs) are susceptible to adversarial images, raising concerns about their reliability in safety-critical tasks. Sparse adversarial attacks, which limit the number of …
TY Liu, Y Yang… - Advances in Neural …, 2022 - proceedings.neurips.cc
A powerful category of (invisible) data poisoning attacks modify a subset of training examples by small adversarial perturbations to change the prediction of certain test-time …
The score-based query attacks (SQAs) pose practical threats to deep neural networks by crafting adversarial perturbations within dozens of queries, only using the model's output …
B Wu, S Wei, M Zhu, M Zheng, Z Zhu, M Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Adversarial phenomenon has been widely observed in machine learning (ML) systems, especially in those using deep neural networks, describing that ML systems may produce …
X Wei, J Yu, Y Huang - International Journal of Computer Vision, 2024 - Springer
Owing to the extensive application of infrared object detectors in the safety-critical tasks, it is necessary to evaluate their robustness against adversarial examples in the real world …
Despite the tremendous progress made by deep learning models in image semantic segmentation, they typically require large annotated examples, and increasing attention is …
Adversarial generative models, such as Generative Adversarial Networks (GANs), are widely applied for generating various types of data, ie, images, text, and audio. Accordingly …