Results 171 to 180 of about 543,217 (204)

Adversarial Attack on Video Retrieval

2020 The 4th International Conference on Video and Image Processing, 2020
Recently adversarial examples have been reported to reveal the fragility of deep learning models. However, most adversarial attacks focus on classification task and less attention has been paid to retrieval task. In this paper, we are the first to investigate adversarial examples on the video retrieval system in both non-targeted and targeted attack ...
Ying Zou 0008, Chenglong Zhao, Bingbing Ni   +2 more
openaire   +1 more source

Generative Transferable Adversarial Attack

Proceedings of the 3rd International Conference on Video and Image Processing, 2019
Despite their superior performance in computer vision tasks, deep neural networks are found to be vulnerable to adversarial examples, slightly perturbed examples that can mislead trained models. Moreover, adversarial examples are often transferable, i.e., adversaries crafted for one model can attack another model.
Yifeng Li, Ya Zhang 0002, Rui Zhang, Yanfeng Wang 0001   +3 more
openaire   +2 more sources

Componentwise Adversarial Attacks

2023
Lucas Beerens, Desmond J. Higham
openaire   +1 more source

Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey

IEEE Communications Surveys and Tutorials, 2023
Vincent Poor, Wei Ni, Shenghong Li
exaly  

A Survey of Adversarial Attack and Defense Methods for Malware Classification in Cyber Security

IEEE Communications Surveys and Tutorials, 2023
Wei Wang, Wei Zhang, Quan Yu
exaly  

Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

ACM Computing Surveys, 2022
Lior Rokach, Yuval Elovici, Asaf Shabtai
exaly