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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 101125 of 523 papers

TitleStatusHype
ONION: A Simple and Effective Defense Against Textual Backdoor AttacksCode1
Backdoor Attack against Speaker VerificationCode1
Input-Aware Dynamic Backdoor AttackCode1
Embedding and Extraction of Knowledge in Tree Ensemble ClassifiersCode1
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free CasesCode1
Defending against Backdoors in Federated Learning with Robust Learning RateCode1
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural NetworksCode1
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?Code1
Graph BackdoorCode1
Backdoor Attacks to Graph Neural NetworksCode1
DBA: Distributed Backdoor Attacks against Federated LearningCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
Hidden Trigger Backdoor AttacksCode1
A new Backdoor Attack in CNNs by training set corruption without label poisoningCode1
VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation0
Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning0
CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks0
Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments0
ME: Trigger Element Combination Backdoor Attack on Copyright Infringement0
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems0
SPBA: Utilizing Speech Large Language Model for Backdoor Attacks on Speech Classification Models0
Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation0
Invisible Backdoor Triggers in Image Editing Model via Deep WatermarkingCode0
Heterogeneous Graph Backdoor Attack0
Poison in the Well: Feature Embedding Disruption in Backdoor Attacks0
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