Imagen de Portada

FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Nguyen, Tuan, Doan, Khoa D, Wong, Kok-Seng
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape
por: Nguyen, Tuan, et al.
Publicado: (2024)

Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning
por: Nguyen, Son, et al.
Publicado: (2024)

Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
por: Nguyen, Thinh, et al.
Publicado: (2024)

Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
por: Nguyen, Quang H., et al.
Publicado: (2024)

FedDefender: Backdoor Attack Defense in Federated Learning
por: Gill, Waris, et al.
Publicado: (2023)

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
por: Dao, Thinh, et al.
Publicado: (2025)

Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
por: Liu, Tao, et al.
Publicado: (2024)

Federated Domain Generalization with Latent Space Inversion
por: Palakkadavath, Ragja, et al.
Publicado: (2025)

Backdoor Attacks on Deep Learning Face Detection
por: Roux, Quentin Le, et al.
Publicado: (2025)

NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise
por: Miah, Abdullah Arafat, et al.
Publicado: (2024)

Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles
por: Lao, Dong, et al.
Publicado: (2025)

Under-confidence Backdoors Are Resilient and Stealthy Backdoors
por: Peng, Minlong, et al.
Publicado: (2022)

Composite Concept Extraction through Backdooring
por: Ghosh, Banibrata, et al.
Publicado: (2024)

Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
por: Yang, Wenhan, et al.
Publicado: (2023)

Beyond Corner Patches: Semantics-Aware Backdoor Attack in Federated Learning
por: Herath, Kavindu, et al.
Publicado: (2026)

Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
por: Chen, Yukun, et al.
Publicado: (2025)

Clean-Label Physical Backdoor Attacks with Data Distillation
por: Dao, Thinh, et al.
Publicado: (2024)

Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
por: Le, Khiem, et al.
Publicado: (2024)

STLDM: Spatio-Temporal Latent Diffusion Model for Precipitation Nowcasting
por: Foo, Shi Quan, et al.
Publicado: (2025)

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
por: Bai, Sikai, et al.
Publicado: (2024)

FLARE: Toward Universal Dataset Purification against Backdoor Attacks
por: Hou, Linshan, et al.
Publicado: (2024)

Backdooring Outlier Detection Methods: A Novel Attack Approach
por: Taghavi, ZeinabSadat, et al.
Publicado: (2024)

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
por: Yang, Hunmin, et al.
Publicado: (2024)

Connective Viewpoints of Signal-to-Noise Diffusion Models
por: Doan, Khanh, et al.
Publicado: (2024)

Unveiling Concept Attribution in Diffusion Models
por: Nguyen, Quang H., et al.
Publicado: (2024)

Prototype Guided Backdoor Defense
por: Amula, Venkat Adithya, et al.
Publicado: (2025)

FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients
por: Li, DaiXun, et al.
Publicado: (2023)

Poisoning Attacks on Federated Learning for Autonomous Driving
por: Garg, Sonakshi, et al.
Publicado: (2024)

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems
por: Roux, Quentin Le, et al.
Publicado: (2025)

Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations
por: Pang, Lu, et al.
Publicado: (2024)

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
por: Le, Khiem, et al.
Publicado: (2024)

Variational Transfer Learning using Cross-Domain Latent Modulation
por: Hou, Jinyong, et al.
Publicado: (2022)

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
por: Nguyen, Tuan, et al.
Publicado: (2024)

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
por: Hu, Chen, et al.
Publicado: (2024)

A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
por: Guo, Zhongliang, et al.
Publicado: (2024)

Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
por: Zhu, Mingyan, et al.
Publicado: (2023)

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
por: Yang, Hunmin, et al.
Publicado: (2024)

Retrospective Feature Estimation for Continual Learning
por: Nguyen, Nghia D., et al.
Publicado: (2024)

Universal Multi-Domain Translation via Diffusion Routers
por: Kieu, Duc, et al.
Publicado: (2025)

Kill it with FIRE: On Leveraging Latent Space Directions for Runtime Backdoor Mitigation in Deep Neural Networks
por: Ahlers, Enrico, et al.
Publicado: (2026)