Detecting All-to-One Backdoor Attacks in Black-Box DNNs via Differential Robustness to Noise
The all-to-one (A2O) backdoor attack is one of the major adversarial threats against neural networks. Most existing A2O backdoor defenses operate in a white-box context, necessitating access to the backdoored model’s architecture, hidden layer outputs, or internal parameters. The necessit...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10891759/ |
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