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 301–325 of 523 papers

TitleStatusHype
Multi-Target Federated Backdoor Attack Based on Feature Aggregation—0
Natural Backdoor Attack on Text Data—0
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving—0
Neighboring Backdoor Attacks on Graph Convolutional Network—0
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations—0
Object-oriented backdoor attack against image captioning—0
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing—0
On Feasibility of Server-side Backdoor Attacks on Split Learning—0
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models—0
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning—0
Parasite: A Steganography-based Backdoor Attack Framework for Diffusion Models—0
Partial train and isolate, mitigate backdoor attack—0
PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking—0
Physical Invisible Backdoor Based on Camera Imaging—0
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks—0
PointBA: Towards Backdoor Attacks in 3D Point Cloud—0
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers—0
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds—0
Poison in the Well: Feature Embedding Disruption in Backdoor Attacks—0
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models—0
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios—0
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models—0
Prompt Backdoors in Visual Prompt Learning—0
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation—0
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery—0
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