Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks

Research article (Journal of Systems and Software, 2023) · cited 12× · AI/ML
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Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks

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Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-backdoor-attacks-using-targeted-universal-adversarial-perturbations-for-deep-neural-networks
MLA “Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-backdoor-attacks-using-targeted-universal-adversarial-perturbations-for-deep-neural-networks.
BibTeX @misc{4ortxyz_detection-of-backdoor-attacks-using-targeted-universal-adversarial-perturbations-for-deep-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-backdoor-attacks-using-targeted-universal-adversarial-perturbations-for-deep-neural-networks}, note = {Accessed: 2026-05-24}}
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