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 326–350 of 523 papers

TitleStatusHype
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective—0
Adversarial Targeted Forgetting in Regularization and Generative Based Continual Learning Models—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
A Knowledge Distillation-Based Backdoor Attack in Federated Learning—0
A Master Key Backdoor for Universal Impersonation Attack against DNN-based Face Verification—0
An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers—0
An Invisible Backdoor Attack Based On Semantic Feature—0
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences—0
Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive Learning—0
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks—0
Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark—0
A Robust Attack: Displacement Backdoor Attack—0
A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks—0
A semantic backdoor attack against Graph Convolutional Networks—0
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration—0
A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning—0
A Survey on Backdoor Attack and Defense in Natural Language Processing—0
A temporal chrominance trigger for clean-label backdoor attack against anti-spoof rebroadcast detection—0
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning—0
BAAAN: Backdoor Attacks Against Auto-encoder and GAN-Based Machine Learning Models—0
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models—0
Backdoor Attack against NLP models with Robustness-Aware Perturbation defense—0
Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion—0
Backdoor Attack and Defense for Deep Regression—0
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis—0
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