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 401–450 of 523 papers

TitleStatusHype
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape—0
Behavior Backdoor for Deep Learning Models—0
Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning—0
BFClass: A Backdoor-free Text Classification Framework—0
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning—0
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy—0
C^2 ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion—0
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers—0
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models—0
CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack—0
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving—0
CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks—0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
Compression-Resistant Backdoor Attack against Deep Neural Networks—0
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning—0
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer—0
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee—0
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning—0
CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks—0
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning—0
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World—0
DarkMind: Latent Chain-of-Thought Backdoor in Customized LLMs—0
Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks—0
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data—0
Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias—0
Deep Learning Backdoors—0
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection—0
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation—0
DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints—0
Defending against Backdoor Attack on Deep Neural Networks—0
Defending Against Backdoor Attack on Graph Nerual Network by Explainability—0
Defending against Backdoor Attacks in Natural Language Generation—0
Defending Against Backdoor Attacks Using Ensembles of Weak Learners—0
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning—0
Defending Backdoor Attacks on Vision Transformer via Patch Processing—0
Defending Backdoor Data Poisoning Attacks by Using Noisy Label Defense Algorithm—0
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning—0
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models—0
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective—0
Detecting Backdoor in Deep Neural Networks via Intentional Adversarial Perturbations—0
Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving—0
DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning—0
DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World—0
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models—0
Does Few-shot Learning Suffer from Backdoor Attacks?—0
Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks—0
Double Landmines: Invisible Textual Backdoor Attacks based on Dual-Trigger—0
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