Beyond Corner Patches: Semantics-Aware Backdoor Attack in Federated Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Herath, Kavindu, Zhao, Joshua, Bagchi, Saurabh |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
por: Gan, Xiaoyun, et al.
Publicado: (2024)
por: Gan, Xiaoyun, et al.
Publicado: (2024)
K8s Pro Sentinel: Extend Secret Security in Kubernetes Cluster
por: Gunathilake, Kavindu, et al.
Publicado: (2024)
por: Gunathilake, Kavindu, et al.
Publicado: (2024)
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
por: Dao, Thinh, et al.
Publicado: (2025)
por: Dao, Thinh, et al.
Publicado: (2025)
DarkFed: A Data-Free Backdoor Attack in Federated Learning
por: Li, Minghui, et al.
Publicado: (2024)
por: Li, Minghui, et al.
Publicado: (2024)
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense
por: Li, Qilei, et al.
Publicado: (2024)
por: Li, Qilei, et al.
Publicado: (2024)
DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
por: Herath, Charuka, et al.
Publicado: (2025)
por: Herath, Charuka, et al.
Publicado: (2025)
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix
por: Oh, Seungeun, et al.
Publicado: (2024)
por: Oh, Seungeun, et al.
Publicado: (2024)
Ciphera: A Decentralised Biometric Identity Framework
por: Prajapati, Ankit Kanaiyalal, et al.
Publicado: (2026)
por: Prajapati, Ankit Kanaiyalal, et al.
Publicado: (2026)
Trustworthy Federated Learning: Privacy, Security, and Beyond
por: Chen, Chunlu, et al.
Publicado: (2024)
por: Chen, Chunlu, et al.
Publicado: (2024)
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
por: Xu, Jiahao, et al.
Publicado: (2025)
por: Xu, Jiahao, et al.
Publicado: (2025)
HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing
por: Quan, Minh K., et al.
Publicado: (2024)
por: Quan, Minh K., et al.
Publicado: (2024)
Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
por: Agha, Bochra Al, et al.
Publicado: (2025)
por: Agha, Bochra Al, et al.
Publicado: (2025)
Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning
por: Sharma, Atul, et al.
Publicado: (2025)
por: Sharma, Atul, et al.
Publicado: (2025)
A Framework for Double-Blind Federated Adaptation of Foundation Models
por: Tastan, Nurbek, et al.
Publicado: (2025)
por: Tastan, Nurbek, et al.
Publicado: (2025)
Delphi: Efficient Asynchronous Approximate Agreement for Distributed Oracles
por: Bandarupalli, Akhil, et al.
Publicado: (2024)
por: Bandarupalli, Akhil, et al.
Publicado: (2024)
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
por: Jimenez-Gutierrez, Daniel M., et al.
Publicado: (2025)
por: Jimenez-Gutierrez, Daniel M., et al.
Publicado: (2025)
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning
por: Zhou, Anqi, et al.
Publicado: (2024)
por: Zhou, Anqi, et al.
Publicado: (2024)
Power to the Clients: Federated Learning in a Dictatorship Setting
por: Alipour, Mohammadsajad, et al.
Publicado: (2025)
por: Alipour, Mohammadsajad, et al.
Publicado: (2025)
PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems
por: Sun, Wei, et al.
Publicado: (2026)
por: Sun, Wei, et al.
Publicado: (2026)
PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks
por: Zhang, Hongliang, et al.
Publicado: (2025)
por: Zhang, Hongliang, et al.
Publicado: (2025)
Identifying the Truth of Global Model: A Generic Solution to Defend Against Byzantine and Backdoor Attacks in Federated Learning (full version)
por: Ebron, Sheldon C., et al.
Publicado: (2023)
por: Ebron, Sheldon C., et al.
Publicado: (2023)
SecureSplit: Mitigating Backdoor Attacks in Split Learning
por: Dou, Zhihao, et al.
Publicado: (2026)
por: Dou, Zhihao, et al.
Publicado: (2026)
Foundation Models in Federated Learning: Assessing Backdoor Vulnerabilities
por: Li, Xi, et al.
Publicado: (2024)
por: Li, Xi, et al.
Publicado: (2024)
Identify Backdoored Model in Federated Learning via Individual Unlearning
por: Xu, Jiahao, et al.
Publicado: (2024)
por: Xu, Jiahao, et al.
Publicado: (2024)
FL-PBM: Pre-Training Backdoor Mitigation for Federated Learning
por: Wehbi, Osama, et al.
Publicado: (2026)
por: Wehbi, Osama, et al.
Publicado: (2026)
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
por: Zhao, Zhihui, et al.
Publicado: (2025)
por: Zhao, Zhihui, et al.
Publicado: (2025)
Secure and Privacy-Preserving Vertical Federated Learning
por: Jin, Shan, et al.
Publicado: (2026)
por: Jin, Shan, et al.
Publicado: (2026)
Celtibero: Robust Layered Aggregation for Federated Learning
por: Molina-Coronado, Borja
Publicado: (2024)
por: Molina-Coronado, Borja
Publicado: (2024)
Beyond Denial-of-Service: The Puppeteer's Attack for Fine-Grained Control in Ranking-Based Federated Learning
por: Chen, Zhihao, et al.
Publicado: (2026)
por: Chen, Zhihao, et al.
Publicado: (2026)
An Adaptive Differential Privacy Method Based on Federated Learning
por: Wang, Zhiqiang, et al.
Publicado: (2024)
por: Wang, Zhiqiang, et al.
Publicado: (2024)
Byzantine-Robust Federated Learning Using Generative Adversarial Networks
por: Zafar, Usama, et al.
Publicado: (2025)
por: Zafar, Usama, et al.
Publicado: (2025)
Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts
por: Khoa, Tran Viet, et al.
Publicado: (2023)
por: Khoa, Tran Viet, et al.
Publicado: (2023)
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
por: Li, Zhiqiang, et al.
Publicado: (2025)
por: Li, Zhiqiang, et al.
Publicado: (2025)
Blockchain and Biometrics: Survey, GDPR Analysis, and Future Directions
por: Ghafourian, Mahdi, et al.
Publicado: (2023)
por: Ghafourian, Mahdi, et al.
Publicado: (2023)
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
por: Hong, Shu, et al.
Publicado: (2024)
por: Hong, Shu, et al.
Publicado: (2024)
SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning
por: Li, Borui, et al.
Publicado: (2025)
por: Li, Borui, et al.
Publicado: (2025)
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
por: Mia, Md Jueal, et al.
Publicado: (2024)
por: Mia, Md Jueal, et al.
Publicado: (2024)
HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning
por: Tang, Jiaxang, et al.
Publicado: (2024)
por: Tang, Jiaxang, et al.
Publicado: (2024)
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
por: Boitier, William, et al.
Publicado: (2024)
por: Boitier, William, et al.
Publicado: (2024)
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
por: Madduri, Ravi, et al.
Publicado: (2024)
por: Madduri, Ravi, et al.
Publicado: (2024)
Ejemplares similares
-
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
por: Gan, Xiaoyun, et al.
Publicado: (2024) -
K8s Pro Sentinel: Extend Secret Security in Kubernetes Cluster
por: Gunathilake, Kavindu, et al.
Publicado: (2024) -
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
por: Dao, Thinh, et al.
Publicado: (2025) -
DarkFed: A Data-Free Backdoor Attack in Federated Learning
por: Li, Minghui, et al.
Publicado: (2024) -
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense
por: Li, Qilei, et al.
Publicado: (2024)