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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

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Showing 511–520 of 523 papers

TitleStatusHype
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class—0
MARNET: Backdoor Attacks against Value-Decomposition Multi-Agent Reinforcement Learning—0
MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems—0
Megatron: Evasive Clean-Label Backdoor Attacks against Vision Transformer—0
MEGen: Generative Backdoor in Large Language Models via Model Editing—0
Memory Backdoor Attacks on Neural Networks—0
ME: Trigger Element Combination Backdoor Attack on Copyright Infringement—0
iBA: Backdoor Attack on 3D Point Cloud via Reconstructing Itself—0
Mitigating Backdoor Attack Via Prerequisite Transformation—0
Moiré Backdoor Attack (MBA): A Novel Trigger for Pedestrian Detectors in the Physical World—0
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