FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Han, Shanshan, Buyukates, Baturalp, Hu, Zijian, Jin, Han, Jin, Weizhao, Sun, Lichao, Wang, Xiaoyang, Wu, Wenxuan, Xie, Chulin, Yao, Yuhang, Zhang, Kai, Zhang, Qifan, Zhang, Yuhui, Joe-Wong, Carlee, Avestimehr, Salman, He, Chaoyang |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
by: Han, Shanshan, et al.
Published: (2023)
by: Han, Shanshan, et al.
Published: (2023)
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
by: Jin, Weizhao, et al.
Published: (2023)
by: Jin, Weizhao, et al.
Published: (2023)
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
by: Ceyani, Emir, et al.
Published: (2025)
by: Ceyani, Emir, et al.
Published: (2025)
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
by: Yang, Mengwei, et al.
Published: (2024)
by: Yang, Mengwei, et al.
Published: (2024)
Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences
by: Han, Shanshan, et al.
Published: (2025)
by: Han, Shanshan, et al.
Published: (2025)
FedGraph: A Research Library and Benchmark for Federated Graph Learning
by: Yao, Yuhang, et al.
Published: (2024)
by: Yao, Yuhang, et al.
Published: (2024)
FedTLU: Federated Learning with Targeted Layer Updates
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
LLM Multi-Agent Systems: Challenges and Open Problems
by: Han, Shanshan, et al.
Published: (2024)
by: Han, Shanshan, et al.
Published: (2024)
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks
by: Ambekar, Siddharth, et al.
Published: (2024)
by: Ambekar, Siddharth, et al.
Published: (2024)
Renormalization Group flow, Optimal Transport and Diffusion-based Generative Model
by: Sheshmani, Artan, et al.
Published: (2024)
by: Sheshmani, Artan, et al.
Published: (2024)
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models
by: Hou, Sizai, et al.
Published: (2025)
by: Hou, Sizai, et al.
Published: (2025)
Understanding Communication Backends in Cross-Silo Federated Learning
by: Ziashahabi, Amir, et al.
Published: (2026)
by: Ziashahabi, Amir, et al.
Published: (2026)
Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions
by: Kang, Sungmin, et al.
Published: (2025)
by: Kang, Sungmin, et al.
Published: (2025)
FedAST: Federated Asynchronous Simultaneous Training
by: Askin, Baris, et al.
Published: (2024)
by: Askin, Baris, et al.
Published: (2024)
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
by: Lin, I-Cheng, et al.
Published: (2024)
by: Lin, I-Cheng, et al.
Published: (2024)
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
by: Bakman, Yavuz Faruk, et al.
Published: (2024)
by: Bakman, Yavuz Faruk, et al.
Published: (2024)
Reconsidering LLM Uncertainty Estimation Methods in the Wild
by: Bakman, Yavuz, et al.
Published: (2025)
by: Bakman, Yavuz, et al.
Published: (2025)
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency
by: Yao, Yuhang, et al.
Published: (2024)
by: Yao, Yuhang, et al.
Published: (2024)
Federated Learning with Flexible Architectures
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
Fox-1: Open Small Language Model for Cloud and Edge
by: Hu, Zijian, et al.
Published: (2024)
by: Hu, Zijian, et al.
Published: (2024)
Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs
by: Ran, Yide, et al.
Published: (2024)
by: Ran, Yide, et al.
Published: (2024)
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
by: Stripelis, Dimitris, et al.
Published: (2024)
by: Stripelis, Dimitris, et al.
Published: (2024)
Differentially Private Federated Learning without Noise Addition: When is it Possible?
by: Zhang, Jiang, et al.
Published: (2024)
by: Zhang, Jiang, et al.
Published: (2024)
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
Balancing Information Accuracy and Response Timeliness in Networked LLMs
by: Turkmen, Yigit, et al.
Published: (2025)
by: Turkmen, Yigit, et al.
Published: (2025)
Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
by: Turkmen, Yigit, et al.
Published: (2026)
by: Turkmen, Yigit, et al.
Published: (2026)
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
by: Ozfatura, Emre, et al.
Published: (2024)
by: Ozfatura, Emre, et al.
Published: (2024)
FLAMMABLE: A Multi-Model Federated Learning Framework with Multi-Model Engagement and Adaptive Batch Sizes
by: Lin, Shouxu, et al.
Published: (2025)
by: Lin, Shouxu, et al.
Published: (2025)
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
by: Tamirisa, Rishub, et al.
Published: (2024)
by: Tamirisa, Rishub, et al.
Published: (2024)
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs
by: Yaldiz, Duygu Nur, et al.
Published: (2024)
by: Yaldiz, Duygu Nur, et al.
Published: (2024)
ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation
by: Feng, Tiantian, et al.
Published: (2024)
by: Feng, Tiantian, et al.
Published: (2024)
Federated Communication-Efficient Multi-Objective Optimization
by: Askin, Baris, et al.
Published: (2024)
by: Askin, Baris, et al.
Published: (2024)
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
by: Alam, Samiul, et al.
Published: (2023)
by: Alam, Samiul, et al.
Published: (2023)
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
by: Shao, Jiaqi, et al.
Published: (2023)
by: Shao, Jiaqi, et al.
Published: (2023)
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training
by: Lee, Sunwoo, et al.
Published: (2024)
by: Lee, Sunwoo, et al.
Published: (2024)
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
by: Zhang, Haoran, et al.
Published: (2025)
by: Zhang, Haoran, et al.
Published: (2025)
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning
by: Kim, Taejin, et al.
Published: (2023)
by: Kim, Taejin, et al.
Published: (2023)
TorchOpera: A Compound AI System for LLM Safety
by: Han, Shanshan, et al.
Published: (2024)
by: Han, Shanshan, et al.
Published: (2024)
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset
by: Liu, Weijie, et al.
Published: (2023)
by: Liu, Weijie, et al.
Published: (2023)
The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape
by: Zhao, Joshua C., et al.
Published: (2024)
by: Zhao, Joshua C., et al.
Published: (2024)
Similar Items
-
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
by: Han, Shanshan, et al.
Published: (2023) -
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
by: Jin, Weizhao, et al.
Published: (2023) -
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
by: Ceyani, Emir, et al.
Published: (2025) -
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
by: Yang, Mengwei, et al.
Published: (2024) -
Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences
by: Han, Shanshan, et al.
Published: (2025)