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Adversarial Attack on Video Retrieval
2020 The 4th International Conference on Video and Image Processing, 2020Recently 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 +2 more
openaire +1 more source
Generative Transferable Adversarial Attack
Proceedings of the 3rd International Conference on Video and Image Processing, 2019Despite 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 +3 more
openaire +2 more sources
A Survey of Adversarial Attack and Defense Methods for Malware Classification in Cyber Security
IEEE Communications Surveys and Tutorials, 2023, , Quan Yu
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Adversarial Attack and Defense: A Survey
Electronics (Switzerland), 2022Erlu He, Yangyang Zhao
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Adversarial Attack Type I: Cheat Classifiers by Significant Changes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Chengjin Sun +2 more
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Average Gradient-Based Adversarial Attack
IEEE Transactions on Multimedia, 2023Huang Fangjun, , Xianfeng Zhao
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Adversarial attack and defense technologies in natural language processing: A survey
Neurocomputing, 2022Shijie Zhou, Wen Huang, Shilin Qiu
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Adversarial Sample Attack and Defense Method for Encrypted Traffic Data
IEEE Transactions on Intelligent Transportation Systems, 2022Zhiguang Qin +2 more
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Black-box adversarial attacks on XSS attack detection model
Computers and Security, 2022Kim-Kwang Raymond Choo +2 more
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