Certifiers make neural networks vulnerable to availability attacks
To achieve reliable, robust, and safe AI systems, it is vital to implement fallback strategies when AI predictions cannot be trusted. Certifiers for neural networks are a reliable way to check the robustness of these predictions. They guarantee for some predictions that a certain class of manipulati...
| Autori principali: | , , |
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| Natura: | Conference item |
| Lingua: | English |
| Pubblicazione: |
Association for Computing Machinery
2023
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