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 251275 of 523 papers

TitleStatusHype
Composite Backdoor Attacks Against Large Language ModelsCode1
Moiré Backdoor Attack (MBA): A Novel Trigger for Pedestrian Detectors in the Physical World0
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning0
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseCode0
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language ModelsCode1
Genetic Algorithm-Based Dynamic Backdoor Attack on Federated Learning-Based Network Traffic ClassificationCode0
Robust Backdoor Attacks on Object Detection in Real World0
Physical Invisible Backdoor Based on Camera Imaging0
MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems0
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System0
EventTrojan: Manipulating Non-Intrusive Speech Quality Assessment via Imperceptible Events0
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning0
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack0
MDTD: A Multi Domain Trojan Detector for Deep Neural NetworksCode0
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model ModificationCode1
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation0
Temporal-Distributed Backdoor Attack Against Video Based Action Recognition0
DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor AttackCode0
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers0
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt InjectionCode1
BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative ModelsCode1
You Can Backdoor Personalized Federated LearningCode1
Beating Backdoor Attack at Its Own GameCode0
Adversarial Feature Map Pruning for BackdoorCode0
Risk-optimized Outlier Removal for Robust 3D Point Cloud ClassificationCode1
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