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backdoor defense

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Showing 51–75 of 131 papers

TitleStatusHype
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning—0
Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images—0
CopyrightShield: Spatial Similarity Guided Backdoor Defense against Copyright Infringement in Diffusion Models—0
Neutralizing Backdoors through Information Conflicts for Large Language Models—0
MADE: Graph Backdoor Defense with Masked Unlearning—0
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks—0
Embedding Watermarks in Diffusion Process for Model Intellectual Property Protection—0
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed ModelsCode0
BeniFul: Backdoor Defense via Middle Feature Analysis for Deep Neural Networks—0
"No Matter What You Do": Purifying GNN Models via Backdoor UnlearningCode0
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats—0
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning—0
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis—0
Adversarial Backdoor Defense in CLIP—0
Data-centric NLP Backdoor Defense from the Lens of Memorization—0
Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning ParadigmCode0
PureDiffusion: Using Backdoor to Counter Backdoor in Generative Diffusion Models—0
TERD: A Unified Framework for Safeguarding Diffusion Models Against BackdoorsCode0
Backdoor defense, learnability and obfuscation—0
Backdoor Defense through Self-Supervised and Generative Learning—0
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation—0
Defending Text-to-image Diffusion Models: Surprising Efficacy of Textual Perturbations Against Backdoor AttacksCode0
SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning—0
Protecting against simultaneous data poisoning attacks—0
Eliminating Backdoors in Neural Code Models for Secure Code Understanding—0
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