DIB-UAP: enhancing the transferability of universal adversarial perturbation via deep information bottleneck
Abstract Significant structural differences in DNN-based object detectors hinders the transferability of adversarial attacks. Studies show that intermediate features extracted by the detector contain more model-independent information, and disrupting these features can enhance attack transferability...
Gorde:
| Egile Nagusiak: | , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Springer
2024-06-01
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| Saila: | Complex & Intelligent Systems |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/s40747-024-01522-z |
| Etiketak: |
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