SOTAVerified

Backdoor Attack

Backdoor attacks inject maliciously constructed data into a training set so that, at test time, the trained model misclassifies inputs patched with a backdoor trigger as an adversarially-desired target class.

Papers

Showing 451460 of 523 papers

TitleStatusHype
Attacking by Aligning: Clean-Label Backdoor Attacks on Object DetectionCode0
Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion ModelsCode0
Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion ModelsCode0
MDTD: A Multi Domain Trojan Detector for Deep Neural NetworksCode0
Backdoor Pre-trained Models Can Transfer to AllCode0
Towards Invisible Backdoor Attack on Text-to-Image Diffusion ModelCode0
Color Backdoor: A Robust Poisoning Attack in Color SpaceCode0
Backdoor Graph CondensationCode0
Going In Style: Audio Backdoors Through Stylistic TransformationsCode0
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic ClassificationCode0
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