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 76–100 of 523 papers

TitleStatusHype
PBP: Post-training Backdoor Purification for Malware ClassifiersCode0
Behavior Backdoor for Deep Learning Models—0
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient—0
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm—0
BadScan: An Architectural Backdoor Attack on Visual State Space Models—0
BadSFL: Backdoor Attack against Scaffold Federated Learning—0
LoBAM: LoRA-Based Backdoor Attack on Model Merging—0
Memory Backdoor Attacks on Neural Networks—0
AnywhereDoor: Multi-Target Backdoor Attacks on Object DetectionCode0
DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning—0
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations—0
Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization—0
TrojanRobot: Physical-World Backdoor Attacks Against VLM-based Robotic Manipulation—0
Unlearn to Relearn Backdoors: Deferred Backdoor Functionality Attacks on Deep Learning Models—0
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning—0
Flashy Backdoor: Real-world Environment Backdoor Attack on SNNs with DVS Cameras—0
Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion—0
Securing Federated Learning against Backdoor Threats with Foundation Model Integration—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models—0
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge DistillationCode0
Risk of Text Backdoor Attacks Under Dataset DistillationCode0
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks—0
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations—0
Backdoor Attack on Vertical Federated Graph Neural Network Learning—0
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