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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

Showing 151160 of 523 papers

TitleStatusHype
Backdoor Attack through Frequency DomainCode0
A general approach to enhance the survivability of backdoor attacks by decision path couplingCode0
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseCode0
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic ClassificationCode0
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsCode0
Generalization Bound and New Algorithm for Clean-Label Backdoor AttackCode0
Going In Style: Audio Backdoors Through Stylistic TransformationsCode0
Invisible Backdoor Triggers in Image Editing Model via Deep WatermarkingCode0
Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval SystemsCode0
CBD: A Certified Backdoor Detector Based on Local Dominant ProbabilityCode0
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