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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 201–250 of 523 papers

TitleStatusHype
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
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Securing Federated Learning against Backdoor Threats with Foundation Model Integration—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
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks—0
Risk of Text Backdoor Attacks Under Dataset DistillationCode0
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations—0
Backdoor Attack on Vertical Federated Graph Neural Network Learning—0
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models—0
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models—0
"No Matter What You Do": Purifying GNN Models via Backdoor UnlearningCode0
BadHMP: Backdoor Attack against Human Motion Prediction—0
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery—0
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats—0
TrojVLM: Backdoor Attack Against Vision Language Models—0
Weak-to-Strong Backdoor Attack for Large Language Models—0
Claim-Guided Textual Backdoor Attack for Practical ApplicationsCode0
Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks—0
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated LearningCode0
Data-centric NLP Backdoor Defense from the Lens of Memorization—0
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning—0
A Spatiotemporal Stealthy Backdoor Attack against Cooperative Multi-Agent Deep Reinforcement Learning—0
Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural BackdoorCode0
NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian NoiseCode0
EmoAttack: Utilizing Emotional Voice Conversion for Speech Backdoor Attacks on Deep Speech Classification Models—0
SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning—0
MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup TransferCode0
Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks—0
MEGen: Generative Backdoor in Large Language Models via Model Editing—0
A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as Triggers—0
Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion ModelsCode0
DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers—0
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor LearningCode0
Trading Devil Final: Backdoor attack via Stock market and Bayesian Optimization—0
Krait: A Backdoor Attack Against Graph Prompt Tuning—0
Backdoor Attacks against Image-to-Image Networks—0
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning—0
Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense—0
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records—0
Backdoor Graph CondensationCode0
SOS! Soft Prompt Attack Against Open-Source Large Language Models—0
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated LearningCode0
Attack On Prompt: Backdoor Attack in Prompt-Based Continual Learning—0
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift—0
CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack—0
EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor Generation—0
Backdooring Bias into Text-to-Image ModelsCode0
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