Steganalysis of neural networks using implicit features
Abstract Deep neural networks are used increasingly in daily life. Many models contain redundant parameters that render them susceptible to being exploited for transmitting secret data, thereby injecting malware or stealing sensitive data. Research on steganographic schemes for neural networks is th...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
SpringerOpen
2026-06-01
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| Serier: | Cybersecurity |
| Fag: | |
| Online adgang: | https://doi.org/10.1186/s42400-025-00519-6 |
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