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 251–275 of 523 papers

TitleStatusHype
Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach—0
Federated Learning with Flexible Architectures—0
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning—0
GENIE: Watermarking Graph Neural Networks for Link Prediction—0
Generalization Bound and New Algorithm for Clean-Label Backdoor AttackCode0
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents—0
DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World—0
Cross-Context Backdoor Attacks against Graph Prompt LearningCode0
Towards Unified Robustness Against Both Backdoor and Adversarial AttacksCode0
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation ModelsCode0
Partial train and isolate, mitigate backdoor attack—0
Mitigating Backdoor Attack by Injecting Proactive Defensive BackdoorCode0
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark—0
Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee—0
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language ModelsCode0
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding InspectionCode0
An Invisible Backdoor Attack Based On Semantic Feature—0
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning—0
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers—0
Towards Robust Physical-world Backdoor Attacks on Lane Detection—0
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection—0
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning—0
Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learning—0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
LSP Framework: A Compensatory Model for Defeating Trigger Reverse Engineering via Label Smoothing Poisoning—0
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