We name the proposed backdoor attack as Wasserstein Backdoor (WB), which achieves a high attack success rate while being stealthy from both the input and latent ...
As we described in the main paper, we use four datasets, MNIST, CIFAR10, GTSRB, and TinyIma- genet, to evaluate our method. Note that MNIST, CIFAR10, and GTSRB ...
Unofficial implementation of NeurIPS 2021 paper Backdoor Attack with Imperceptible Input and Latent Modification. - RJ-T/Wasserstein-Backdoor.
Jun 10, 2024 · In this paper, we extend the concept of imperceptible backdoor from the input space to the latent representation, which significantly improves ...
test phase to defend against backdoor attacks [30, 24]. 97. In this paper, we focus on optimizing the characteristics of backdoor attacks in the latent space.
Backdoor attacks can lead harmful consequences when the ML models are deployed in real life. trigger. Input Data. Prediction. Trained. Model. Backdoor Attack.
Mar 12, 2024 · It applies a series of filters to the input to create a feature map that identifies essential features like edges and corners. The activation ...
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This paper proposes a backdoor attack paradigm that only requires minimal alterations to a clean model in order to inject the backdoor under the guise of ...
In this paper, We propose a novel and stealthy backdoor attack - DEFEAT. It poisons the clean data using adaptive imperceptible perturbation and restricts ...
Missing: Modification. | Show results with:Modification.
In this paper, We propose a novel and stealthy backdoor attack - DEFEAT. It poisons the clean data using adaptive imperceptible perturbation and restricts ...
Missing: Modification. | Show results with:Modification.