Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning
cs.LG, cs.CR
Submitted: 2026-08-25
Updated: 2026-08-25
Terminology
Sources
- Federated Learning: Strategies for Improving Communication Efficiency
- Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
- How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?
- FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
- Differentially Private Federated Learning for Resource-Constrained Internet of Things
- On the Convergence of FedAvg on Non-IID Data
- Explaining and Harnessing Adversarial Examples
- Towards Deep Learning Models Resistant to Adversarial Attacks
- Intriguing properties of neural networks
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