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

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Showing 151–175 of 523 papers

TitleStatusHype
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations—0
A Knowledge Distillation-Based Backdoor Attack in Federated Learning—0
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning—0
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks—0
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers—0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models—0
A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection—0
Defending against Backdoor Attacks in Natural Language Generation—0
Defending Against Backdoor Attacks Using Ensembles of Weak Learners—0
Defending Backdoor Attacks on Vision Transformer via Patch Processing—0
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models—0
Backdoor Detection through Replicated Execution of Outsourced Training—0
A Survey on Backdoor Attack and Defense in Natural Language Processing—0
A clean-label graph backdoor attack method in node classification task—0
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning—0
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints—0
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning—0
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning—0
A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning—0
Backdoor Attack with Mode Mixture Latent Modification—0
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration—0
Defending against Backdoor Attack on Deep Neural Networks—0
Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee—0
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