Enhancing adversarial transferability with local transformation
Abstract Robust deep learning models have demonstrated significant applicability in real-world scenarios. The utilization of adversarial attacks plays a crucial role in assessing the robustness of these models. Among such attacks, transfer-based attacks, which leverage white-box models to generate a...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2024-11-01
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| Schriftenreihe: | Complex & Intelligent Systems |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s40747-024-01628-4 |
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