Diffense: defense against backdoor attacks on deep neural networks with latent diffusion
As deep neural network (DNN) models are used in a wide variety of applications, their security has attracted considerable attention. Among the known security vulnerabilities, backdoor attacks have become the most notorious threat to users of pre-trained DNNs and machine learning services. Such attac...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/181984 |