Jun 2, 2024 · Precisely, based on the goals of backdoor attack, we give upper bounds for the clean sample population errors and the poison population errors ...
... Generalization Bound and New Algorithm for Clean-Label Backdoor Attack. In Forty-first International Conference on Machine Learning, ICML 2024, Vienna ...
Jun 3, 2024 · This paper proposes a new algorithm for clean-label backdoor attacks, which are a type of machine learning attack where an attacker ...
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack ... The generalization bound is a crucial theoretical tool for assessing the ...
from publication: Generalization Bound and New Algorithm for Clean-Label Backdoor Attack | The generalization bound is a crucial theoretical tool for ...
May 2, 2024 · We are proud that our paper about a generalization bound and a new algorithm for clean-label backdoor attacks, has been accepted at ICML'24.
In this paper, we fill this gap by deriving algorithm-independent generalization bounds in the clean-label backdoor attack scenario. Precisely, based on the ...
The Experiments For ICML24《Generalization Bound and New Algorithm for Clean-Label Backdoor Attack》. What we offer here is the code that find backdoor ...
A two-phase and image-specific triggers generation method to enhance clean-label backdoor attacks and can achieve a fantastic attack success rate with low ...
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack · hong ... generalization bound is a crucial theoretical tool for assessing the ...